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Trust analysis with clustering
Proceedings of the 20th international conference companion on World wide web, 2011Web provides rich information about a variety of objects. Trustability is a major concern on the web. Truth establishment is an important task so as to provide the right information to the user from the most trustworthy source. Trustworthiness of information provider and the confidence of the facts it provides are inter-dependent on each other and ...
Manish Gupta 0001 +2 more
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Multivariate Behavioral Research, 1970
Different applicatiions require different systems of cluster analysis. The ways in which systems differ are pointed out. The present system was designed originally; to identify, in a homogeneous callection of questionnaire or inventory items or of tests, groups of items which can be scored as subtests, or groups of tests which can be combined to yield ...
E E, Cureton, L W, Cureton, R C, Durfee
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Different applicatiions require different systems of cluster analysis. The ways in which systems differ are pointed out. The present system was designed originally; to identify, in a homogeneous callection of questionnaire or inventory items or of tests, groups of items which can be scored as subtests, or groups of tests which can be combined to yield ...
E E, Cureton, L W, Cureton, R C, Durfee
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Cluster analysis and Q-analysis
International Journal of Man-Machine Studies, 1984Abstract In this article the correspondence between a characteristic algorithm of Q-analysis and the single link method of cluster analysis is noted. Implications of the correspondence are discussed and more important differences between the approaches of Q-analysis and of cluster analysis are brought out.
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Biometrics, 1965
A method for investigating the relation of points in multidimensional space is described. Using an analysis of variance technique, the points are divided into the two most-compact clusters, and the pTocess repeated sequentially so that a tree diagram is formed. It is pointed out that the method is well suited to electronic computing. The application of
A W, EDWARDS, L L, CAVALLI-SFORZA
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A method for investigating the relation of points in multidimensional space is described. Using an analysis of variance technique, the points are divided into the two most-compact clusters, and the pTocess repeated sequentially so that a tree diagram is formed. It is pointed out that the method is well suited to electronic computing. The application of
A W, EDWARDS, L L, CAVALLI-SFORZA
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2015
Clustering or cluster analysis is an important and common task in data mining and analysis, with applications in many fields. However, most existing clustering methods are sensitive in the presence of limited amounts of data per cluster in real-world applications.
Ruqi Zhang, Zhirong Yang, Jukka Corander
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Clustering or cluster analysis is an important and common task in data mining and analysis, with applications in many fields. However, most existing clustering methods are sensitive in the presence of limited amounts of data per cluster in real-world applications.
Ruqi Zhang, Zhirong Yang, Jukka Corander
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On the Number of Clusters in Cluster Analysis
1998Clustering is a fundamental tool for analyzing the structure of feature spaces. It has been applied to various fields such as pattern recognition, information retrieval and so on. Many studies have been done on this problem and various kinds of clustering methods have been proposed and compared (e.g., [1]).
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Clustering by Regression Analysis
2003In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and criterion to combine clusters.
Masahiro Motoyoshi +2 more
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The Literature On Cluster Analysis
Multivariate Behavioral Research, 1978There has been an explosion of interest in cluster analysis since 1960. The "explosion" of this literature is documented through: (a) a rapid growth in the number of articles which have been published using this technique; (b) the wide range of sciences interested in clustering; (c) the large and growing number of software programs for performing ...
R K, Blashfield, M S, Aldenderfer
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Clustering Consistency Analysis
Journal of the Academy of Marketing Science, 1982Cluster analysis is a frequently used technique in marketing as a method to develop partitions or classifications for market segmentation, product positioning, test market selection, etc. Because of the vast diversity in the assortment of clustering algorithms available, it is often times not obvious which algorithm or technique should be employed.
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The Practice of Cluster Analysis
Journal of Classification, 2006Cluster analysis is one of the main methodologies for analyzing multivariate data. Its use is widespread and growing rapidly. The goal of this article is to document this growth, characterize current usage, illustrate the breadth of applications via examples, highlight both good and risky practices, and suggest some research priorities.
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