Titlebook: Data Science and Classification; Vladimir Batagelj,Hans-Hermann Bock,Ale? ?iberna Conference proceedings 2006 Springer-Verlag Berlin Heide

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Pruritus

Empirical Comparison of a Monothetic Divisive Clustering Method with the Ward and the k-means Cluste a small categorical dataset. DIVCLUS-T is then compared empirically with two polythetic clustering methods: the Ward ascendant hierarchical clustering method and the k-means partitional method. The three algorithms are applied and compared on six databases of the UCI Machine Learning repository.

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法官

Digestion and Absorption of Lipidsortion of Shared Specificity. This measure which does not depend on an external corpus, takes into account the density of links in the graph between two concepts. A numerical comparison of the different measures has been made on different large size samples from WordNet.

ALTER

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Introduction to Cognitive Therapyovering stable and meaningful clusters. The proposed methodology is used successfully in the field of archaeometry. Here, without loss of generality, it is applied to hierarchical cluster analysis. The improvements of local cluster analysis will be illustrated by means of multivariate graphics.

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A Tree-Based Similarity for Evaluating Concept Proximities in an Ontologyortion of Shared Specificity. This measure which does not depend on an external corpus, takes into account the density of links in the graph between two concepts. A numerical comparison of the different measures has been made on different large size samples from WordNet.