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- W1540572177 abstract "Publisher Summary The output of a cluster analysis method is a collection of subsets of the object set termed clusters characterized in some manner by relative internal coherence and/or external isolation, along with a natural stratification of these identified clusters by levels of cohesive intensity. In formalizing a model of the cluster analysis methods, it is essential to consider the nature and inherent reliability of the proximity data that constitutes the input in substantive clustering applications. The proximity value scales are dichotomous. It is the practice of most authors of cluster methods to assume that the proximity values are available in the form of a real symmetric matrix, where any unjustified structure implicit in the real values is either to be ignored or axiomatically disallowed. The most desirable cluster analysis models for substantive applications should have the input proximity data expressible in a manner faithfully representing only the reliable information content of the empirically measured data." @default.
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- W1540572177 date "1977-01-01" @default.
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- W1540572177 title "Graph Theoretic Techniques for Cluster Analysis Algorithms" @default.
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