The paper argues for a decompositionalist account of lexical concepts. In particular, it presents and argues for a cluster decompositionalism, a view that claims that the complexes a token of a word corresponds to on a given occasion are typically built out of a determinate set of basic concepts, most of which are present on most other occasions of use of the word. The first part of the paper discusses some explanatory virtues of decompositionalism in general. The second singles out (...) cluster decompositionalism as the best explanation of the variability of meaning. The third part is devoted to responding to some problems. (shrink)

This study focused on the identification problems of two-input single-output system with moving average noises based on unsupervised learning methods applied to the input signals. The input signal to the autoregressive moving average model is proposed to be arriving from a source with continuous technical and environmental changes as two separate featured input signals. These two input signals were grouped in a number of clusters using the K-means clustering algorithm. The clustered input signals were supplied to the model in (...) an orderly fashion from cluster-1 up to cluster-K. To ensure that the output signal can be best predicted from the input signal which in turn leads to selecting good enough model for its intended use, the magnitude-squared coherence measure is applied to the input/output signals in the cases of clustered and nonclustered inputs, which indicates best correlation coefficient when measured with clustered inputs. From collected input-output signals, we deduce a K-means clustering based recursive least squares method for estimating the parameter of autoregressive moving average system. The simulation results indicate that the suggested method is effective. (shrink)

Companies' urge to maximise their profits and their attempts to remain in the highly competitive globalised market gave birth to the TQM concept and have kept it alive. TQM is a comprehensive look which encompasses virtually every aspect of the value chain as well as the human resource and customer satisfaction. Therefore, a great number of companies feel obliged to implement its rules, and procedures. However, the concept is rather complicated and culture-bound, and calls for further research in new settings. (...) The aim of this study is to examine the influences of critical success factors of TQM on customer focus therefore, employees are classified based on their perceptions from critical success factors of total quality management and consequently the level of customer focus is compared between the different classifications. The findings reveal that there is significant difference on the level of the customer focus between the established groups of employees. (shrink)

Noah Rosenberg et al.'s 2002 article “Genetic Structure of Human Populations” reported that multivariate genomic analysis of a large cell line panel yielded reproducible groupings (clusters) suggestive of individuals' geographical origins. The paper has been repeatedly cited as evidence that traditional notions of race have a biological basis, a claim its authors do not make. Critics of this misinterpretation have often suggested that it follows from interpreters' personal biases skewing the reception of an objective piece of scientific writing. I contend, (...) however, that the article itself to some degree facilitates this misrepresentation. I analyze in detail several verbal and visual features of the original article that may predispose aspects of its racial interpretation; and, tracing the arguments of one philosopher and one popular science writer, I show how these features are absorbed, transformed into arguments for a biological basis of race, and re-attributed to the original. The essay demonstrates how even slight ambiguities can enable the misappropriation of scientific writing, unintentionally undermining the authors' stated circumspection on the relationship between cluster and race. (shrink)

The cluster account, one of the best attempts at art classification, is guilty of ahistoricism. While cluster theorists may be happy to limit themselves to accounting for what art is now rather than how the term was understood in the past, they cannot ignore the fact that people seem to apply different clusters when judging art from different times. This paper shows that while allowing for this kind of historical relativity may be necessary to save the account, doing so could (...) result in incorporating an essentially institutional component or making the theory extremely complex and virtually impossible to use. (shrink)

This paper replies to objections from Thomas Adajian, Stephen Davies, and Robert Stecker to my claim, defended in ‘"Art" as a Cluster Concept’, that ‘art’ is a cluster concept and so cannot be defined. The paper also clarifies and extends the arguments of the earlier paper and locates its position in relation to the work of Morris Weitz.

Regier, Kay, and Khetarpal report the results of computer simulations that cluster color stimuli on the basis of their coordinates in CIELAB space, one of two commonly used perceptual color spaces. Regier and coauthors find partitions of those stimuli that are strikingly similar to the way actual color lexicons partition color space. They do not argue for the custom-made clustering method used in their simulations, nor for the assumption of CIELAB space. The present paper aims to answer the question (...) to what extent their computational results depend on these assumptions. It does this by applying a great variety of known clustering methods to Regier et al.’s stimuli, and by assuming not only CIELAB space but also CIELUV space, the other main color space. (shrink)

Individuals with trypophobia have an aversion towards clusters of roughly circular shapes, such as those on a sponge or the bubbles on a cup of coffee. It is unclear why the condition exists, given the harmless nature of typical eliciting stimuli. We suggest that aversion to clusters is an evolutionarily prepared response towards a class of stimuli that resemble cues to the presence of parasites and infectious disease. Trypophobia may be an exaggerated and overgeneralised version of this normally adaptive response. (...) Consistent with this explanation, individuals with trypophobia, as well as comparison individuals, reported aversion towards disease-relevant cluster stimuli, but only the trypophobic group reported aversion towards objectively harmless cluster stimuli that had no relevance to disease. For both groups the level of aversion reported was predicted uniquely by a measure of disgust sensitivity. Scaled emotion ratings and open-ended responses revealed that the aversive response was predominantly based on the disease avoidance emotion, disgust. Many open-ended responses also described skin sensations. These findings support the proposal that individuals with trypophobia primarily perceive cluster stimuli as cues to ectoparasites and skin-transmitted pathogens. (shrink)

Although there once was a general consensus among race scholars that applying race categories to humans is biologically illegitimate, this consensus has been erased over the past decade. This is largely due to advances in population genetics that allow biologists to pick out genetic population clusters that approximate some of our common sense racial categories. In this paper, I argue that this new ability really ought not undermine our confidence in the biological illegitimacy of the human races. Unfortunately, the claim (...) that races are biologically legitimate is ambiguous—the sense I will be concerned with here holds that the human species can be divided into biological subspecies. Sesardic and Andreasen have both argued that the cluster results are evidence for subspecies within the human population. I show the cluster results are in fact evidentially inert relative to each author’s preferred subspecies concept. I then sketch the kinds of biological facts that could be used to adjudicate whether human subspecies have existed in the past. (shrink)

The aim of the article is to trace the integration of education, science and production through the development of regional cluster policy. At the present stage of development of postindustrial society in the global economy, the processes of globalization and specialization of national markets significantly increase competition between countries, between regions and between producers within the country. In these circumstances, the state authorities of the Russian Federation, while maintaining global leadership in the energy sector, define as long-term development goals of (...) the country, the creation of a competitive economy based on knowledge and high technologies. Following this doctrine in the Russian regions in the period from 2012 to 2014 cluster policy is implemented on the basis of Federal and regional innovation strategies. An important role in this process belongs to the activities of leading higher educational institutions - national research universities, which contribute to stimulate an active scientific activity of students and the introduction of scientific achievements into production. One of the pilot cluster projects, funded by the Federal budget became the territorial cluster ‘ Pharmaceutics, medical technology and information technology ‘ formed in the Tomsk region with a unique starting opportunities for the development of sustainable regional innovation system is a developed scientific and educational complex, small and medium-sized innovative enterprises with the latest technological developments in pharmaceuticals and medical technology. In two years, the activity cluster, implemented with the financial support of public authorities, has been successful. In the future, there are plans to expand the range of pharmaceutical products and the collaboration with other clusters Tomsk. Cluster policy contributes to the emergence of stakeholders and large economic enterprises, thus providing a close relationship between science, business and regional authorities. (shrink)

Clustering plays an important role in data mining, pattern recognition, and machine learning. Single-valued neutrosophic sets are useful means to describe and handle indeterminate and inconsistent information that fuzzy sets and intuitionistic fuzzy sets cannot describe and deal with. To cluster the data represented by single-valued neutrosophic information, this article proposes single-valued neutrosophic clustering methods based on similarity measures between SVNSs. First, we define a generalized distance measure between SVNSs and propose two distance-based similarity measures of SVNSs. Then, (...) we present a clustering algorithm based on the similarity measures of SVNSs to cluster single-valued neutrosophic data. Finally, an illustrative example is given to demonstrate the application and effectiveness of the developed clustering methods. (shrink)

Berys Gaut has recently defended a cluster account of art. He proposes it as superior to other anti-essentialist positions. I argue that his defence of this claim is unconvincing. Not only is the cluster theory consistent with the current crop of disjunctive definitions, it is at its most plausible when seen in such terms.

Berys Gaut has recently articulated and defended a putatively anti-definitional ‘cluster’ theory of art. In the first part of this paper, I argue that Gaut's version of the cluster account is flawed. The key notion of ‘counting toward the application of a concept’ is formulated in such a way that a range of apparently irrelevant properties will count as criterial for the concept of art. Moreover, there does not appear to be any quick fix to this problem. I then turn (...) to an exploration of the relationship between the cluster theory and the possibility of defining art. Gaut has claimed that the truth of the cluster account would provide an independent basis for rejecting the possibility of an adequate definition of art. I argue that this is not the case. But while the truth of the cluster account is consistent with definition, I also argue that it would not entail the definability of art in any ordinary sense. (shrink)

In this paper, I will argue that, while the ethical issues raised by cluster randomization can be challenging, they are not new. My thesis divides neatly into two parts. In the first, easier part I argue that many of the ethical challenges posed by cluster randomized human subjects research are clearly present in other types of human subjects research, and so are not novel. In the second, more difficult part I discuss the thorniest ethical challenge for cluster randomized research – (...) cases where consent is genuinely impractical to obtain. I argue that once again these cases require no new analytic insight; instead, we should look to political philosophy for guidance. In other words, the most serious ethical problem that arises in cluster randomized research also arises in political philosophy. (shrink)

The gain of a selective advantage in cancer as well as the establishment of complex traits during evolution require multiple genetic alterations, but how these mutations accumulate over time is currently unclear. There is increasing evidence that a mutator phenotype perpetuates the development of many human cancers. While in some cases the increased mutation rate is the result of a genetic disruption of DNA repair and replication or environmental exposures, other evidence suggests that endogenous DNA damage induced by AID/APOBEC cytidine (...) deaminases can result in transient localized hypermutation generating simultaneous, closely spaced (i.e. “clustered”) multiple mutations. Here, we discuss mechanisms that lead to mutation cluster formation, the biological consequences of their formation in cancer and evidence suggesting that APOBEC mutagenesis can also occur genome‐wide. This raises the possibility that dysregulation of these enzymes may enable rapid malignant transformation by increasing mutation rates without the loss of fitness associated with permanent mutators. (shrink)

ABSTRACT: The cluster theory of names is generally thought to have been to have been utterly discredited by the objections raised against it by Kripke in Naming and Necessity. In this paper, I develop a new version of the cluster theory in which the role played by clusters of associated descriptions is occupied by teams of cognitive relations. And I argue that these teams of relations find a home in an account of the meanings of expressions in epistemic sentence frames, (...) and in a more general theory of the reference of proper names. RÉSUMÉ: La théorie des faisceaux de noms est généralement considérée sans fondement depuis les objections soulevées par Kripke dans Naming and Necessity. Nous proposons une nouvelle version de la théorie des faisceaux dans laquelle le rôle joué par les faisceaux de descriptions associées est pris en charge par des équipes de relations cognitives. Ces équipes de relations trouvent leur place au sein de l’explication de la signification des expressions dans le cadre de phrases épistémologiques et, plus généralement, dans celui d’une théorie de la référence des noms propres. (shrink)

Our prominent definitions of cognition are too vague and lack empirical grounding. They have not kept up with recent developments, and cannot bear the weight placed on them across many different debates. I here articulate and defend a more adequate theory. On this theory, behaviors under the control of cognition tend to display a cluster of characteristic properties, a cluster which tends to be absent from behaviors produced by non-cognitive processes. This cluster is reverse-engineered from the empirical tests that comparative (...) psychologists use to determine whether a behavior was generated by a cognitive or a non-cognitive process. Cognition should be understood as the natural kind of psychological process that non-accidentally exhibits the properties assessed by these tests (as well as others we have not yet discovered). Finally, I review two plausible neural accounts of cognition's underlying mechanisms?one based in localization of function to particular brain regions and another based in the more recent distributed networks approach to neuroscience?which would explain why these properties non-accidentally cluster. While this notion of cognition may be useful for a number of debates, I here focus on its application to a recent crisis over the distinction between cognition and association in comparative psychology. (shrink)

The homeostatic property cluster theory is widely influential for its ability to account for many natural-kind terms in the life sciences. However, the notion of homeostatic mechanism has never been fully explicated. In 2009, Carl Craver interpreted the notion in the sense articulated in discussions on mechanistic explanation and pointed out that the HPC account equipped with such notion invites interest-relativity. In this paper, we analyze two recent refinements on HPC: one that avoids any reference to the causes of the (...) clustering of properties and one that replaces homeostatic mechanisms with causal networks represented by causal graphs. We argue that the former is too slender to account for some inductive inference in science and the latter, thicker account invites interest-relativity, as the original HPC does. This suggests that human interest will be an un-eliminative part of a satisfactory account of natural kindness. We conclude by discussing the implication of interest-relativity to the naturalness, reality, or objectivity of kinds and indicating an overlooked aspect of natural kinds that requires further studies. (shrink)

_BMC Medical Ethics_ is an open access journal publishing original peer-reviewed research articles in relation to the ethical aspects of biomedical research and clinical practice, including professional choices and conduct, medical technologies, healthcare systems and health policies. _BMC __Medical Ethics _is part of the _BMC_ series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We do not make editorial decisions on the basis of the interest of a study or (...) its likely impact. Studies must be scientifically valid; for research articles this includes a scientifically sound research question, the use of suitable methods and analysis, and following community-agreed standards relevant to the research field. Specific criteria for other article types can be found in the submission guidelines. _BMC series - open, inclusive and trusted_. (shrink)

BackgroundSome children appear to not hear well in class despite normal hearing sensitivity. These children may be referred for auditory processing disorder (APD) assessment but can also have attention, language, and/or reading disorders. Despite presenting with similar concerns regarding hearing difficulties in difficult listening conditions, the overall profile of deficits can vary in children with suspected or confirmed APD. The current study used cluster analysis to determine whether subprofiles of difficulties could be identified within a cohort of children presenting for (...) auditory processing assessment.MethodsNinety school-aged children (7–13 years old) with suspected APDs were included in a cluster analysis. All children had their reading, language, cognition and auditory processing assessed. Parents also completed the Children’s Auditory Performance Scale (CHAPS). Cluster analysis was based on tasks where age-norms were available, including word reading (Castles and Coltheart irregular and non-words test), phonological awareness (Queensland University Inventory of Literacy), language [Comprehensive Language of Assessment-4, Comprehensive Assessment of Spoken Language (CASL)], sustained attention (Continuous Performance Test), working memory (digits forward and backward), and auditory processing [Frequency Pattern Test (FPT), Dichotic Digits Test (DDT)]. Hierarchical cluster analysis was undertaken to determine the optimal number of clusters for the data, followed by... (shrink)

Hidden cluster problems can manifest when broad ethnic categories are used as proxies for cultural traits, especially when traits are assumed to encode cultural distances between groups. We suggest a granular understanding of cultural trait distributions within and between ethnic categories is fundamental to the interpretation of heritability estimates as well as general behavioral outcomes.

Intuitionistic fuzzy aggregation techniques -- Intuitionistic fuzzy clustering algorithms.

This article provides a review of what we know, what we do not know, and what we need to know about the relationship between industrial clusters and corporate social responsibility in developing countries. In addition to the drivers of and barriers to the adoption of CSR initiatives, this study highlights key lessons learned from empirical studies of CSR initiatives that aimed to improve environmental management and work conditions and reduce poverty in local industrial districts. Academic work in this area remains (...) embryonic, lacking in empirical evidence about the effects of CSR interventions on the profitability on local enterprises, workers, and the environment. Nor do theoretical frameworks offer clear explanations of the institutionalization and effects of CSR in local industrial districts in the developing world. Other key limitations in this research stream include an excessive focus on export-oriented industrial clusters, the risk that CSR becomes a form of economic and cultural imperialism, and the potential for joint-action CSR initiatives in clusters of small and medium-sized enterprises to offer a new form of greenwashing. From this review, the authors develop a theoretical model to explain why CSR has not become institutionalized in many developing country clusters, which in turn suggests that the vast majority of industrial clusters in developing countries are likely to engage in socially irresponsible behavior. (shrink)

The paper presents different clustering approaches in legal judgments from the Special Civil Court located at the Federal University of Santa Catarina. The subject is Consumer Law, specifically cases in which consumers claim moral and material compensation from airlines for service failures. To identify patterns from the dataset, we apply four types of clustering algorithms: Hierarchical and Lingo, K-means and Affinity Propagation. We evaluate the results based on the following criteria: entropy and purity; algorithm's ability in providing labels; (...) legal expert’s evaluation; and experimental complexity. The results demonstrate that the most advantageous approach is Hierarchical Clustering, since it has the best entropy and purity numbers, as well as the least difficulty for the expert to analyze the clusters, and the least experimental complexity. The main contribution of the paper is to show the advantages and disadvantages of each approach, especially to identify labels in unstructured and non-indexed legal texts. (shrink)

Decisions are taken by humans very often during professional as well as leisure activities. It is particularly evident during surfing the Internet: selecting web sites to explore, choosing needed information in search engine results or deciding which product to buy in an on-line store. Recommender systems are electronic applications, the aim of which is to support humans in this decision making process. They are widely used in many applications: adaptive WWW servers, e-learning, music and video preferences, internet stores etc. In (...) on-line solutions, such as e-shops or libraries, the aim of recommendations is to show customers the products which they are probably interested in. As input data the following are taken: shopping basket archives, ratings of the products or servers log files.The article presents a solution of recommender system which helps users to select an interesting product. The system analyses data from other customers' ratings of the products. It uses clustering methods to find similarities among the users and proposed techniques to identify users' profiles. The system was implemented in Apache Mahout environment and tested on a movie database. Selected similarity measures are based on: Euclidean distance, cosine as well as correlation coefficient and loglikehood function. (shrink)

This article contributes to literature on corporate social responsibility exhibited by industrial clusters in developing countries. The authors conceptualize and empirically investigate the role of donor-funded CSR initiatives aimed at promoting collective action by cluster-based small- and medium-sized enterprises. A case study of the Sialkot football-manufacturing cluster in Pakistan indicates that donor-funded support of CSR initiatives in industrial clusters in developing countries may be short-lived, due to the political economy of aid, the national context of CSR implementation, tensions within SME (...) networks, and negative perceptions of CSR by the cluster-based SMEs themselves. The findings and implications of this analysis can inform both research and policy making in this area. (shrink)

I present and defend a novel version of the homeostatic property cluster account of natural kinds. The core of the proposal is a development of the notion of co-occurrence, central to the HPC account, along information-theoretic lines. The resulting theory retains all the appealing features of the original formulation, while increasing its explanatory power, and formal perspicuity. I showcase the theory by applying it to the problem of reconciling the thesis that biological species are natural kinds with the fact that (...) many such species are polymorphic. (shrink)

In this paper, according to the perspective of customers and products, by using clustering analysis and association rule technology, this paper proposes a cross-marketing model based on an improved sequential pattern mining algorithm, where an improved algorithm AP is applied. The algorithm can reduce the time cost of constructing a projection database and the influence of the increase of support on the algorithm efficiency. The improved idea is that when the first partition is used to generate the projection database, (...) the number of itemsets in the projection database is sorted from small to large, and when the second partition is used, the sequence patterns are generated directly from the mined sequence patterns, so as to reduce the construction of the database. The experimental results show that this method can quickly mine the effective information in complex data sets, improve the accuracy and efficiency of data mining, and occupy less memory consumption, which has good theoretical value and application value. (shrink)

The nature of the process of meaning-making in science has been one of the central problems in the philosophy of science of the 20th century. Yet, in spite of strenuous efforts by many able philosophers and historians of science over the past three decades or so, our understanding of this process continues to be unsatisfactory and fragmented at best. The need for an adequate account has been particularly exacerbated by the "infamous" and often misinterpreted problem of incommensurability , and its (...) alleged consequence, the incomparability of scientific theories--which presumably threatens the rationality, objectivity, and progress of science. ;In this project, I argue that a new and revised cluster theory can be articulated, which meets the objections typically raised against traditional theories of meaning and theories of reference . Such a theory is not only based on more plausible assumptions and principles, but, in addition, it satisfies the main adequacy requirements formulated by proponents of a "cognitive-historical approach" . I am thus concerned not just with refuting "the entering wedge" of the argument against a defense of cluster theory, but with offering a relatively developed theory, sufficiently fleshed out to permit appreciation of its distinctiveness and evaluation of its merits. ;I argue that the new cluster theory provides not only an adequate account of the process of meaning-making in science, but also a nuanced and context-sensitive one, which exhibits the fine-structure of the history of science. It is thus capable of accounting for the different kinds and degrees of meaning and reference changes in science. Furthermore, when applied in a case-study of the "chemical revolution," it accounts for that which has escaped change without discontinuity, or even, as result of a broader framework of continuous conceptual change. The new cluster theory constitutes a proposal showing how the comparability of scientific theories is possible, how we have in fact been comparing them all along, despite "local incommensurabilities" of various kinds and degrees. Such a theory offers new insights into the developments of the chemical revolution in particular, but also into the structure and process of scientific revolutions in general. In short, it gives us a new framework for understanding the rationality, objectivity, and progress of science. (shrink)

Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale social bookmarking websites such as del.icio.us can be used as a complementary data source to page text and anchor text for improving automatic clustering of web pages. This paper explores the use of tags in 1) K-means clustering in an extended vector space model that includes tags as well as page text and (...) 2) a novel generative clustering algorithm based on latent Dirichlet allocation that jointly models text and tags. We evaluate the models by comparing their output to an established web directory. We find that the naive inclusion of tagging data improves cluster quality versus page text alone, but a more principled inclusion can substantially improve the quality of all models with a statistically signifi- cant absolute F-score increase of 4%. The generative model outperforms K-means with another 8% F-score increase. (shrink)