Dissimilarity Plots: A Visual Exploration Tool for Partitional Clustering
نویسندگان
چکیده
منابع مشابه
Dissimilarity Plots: A Visual Exploration Tool for Partitional Clustering
For hierarchical clustering, dendrograms provide convenient and powerful visualization. Although many visualization methods have been suggested for partitional clustering, their usefulness deteriorates quickly with increasing dimensionality of the data and/or they fail to represent structure between and within clusters simultaneously. In this paper we extend (dissimilarity) matrix shading with ...
متن کاملDissimilarity Plots:
For hierarchical clustering, dendrograms provide convenient and powerful visualization. Although many visualization methods have been suggested for partitional clustering, their usefulness deteriorates quickly with increasing dimensionality of the data and/or they fail to represent structure between and within clusters simultaneously. In this paper we extend (dissimilarity) matrix shading with ...
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Fuzzy partitional clustering algorithms are widely used in pattern recognition field. Until now, more and more research results on them have been developed in the literature. In order to study these algorithms systematically and deeply, they are reviewed in this paper based on c-means algorithm, from metrics, entropy, and constraints on membership function or cluster centers. Moreover, the adva...
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Non-metric pairwise data with violations of symmetry, reflexivity or triangle inequality appear in fields such as image matching, web mining or cognitive psychology. When data are inherently non-metric, we should not enforce metricity as real information could be lost. The multidimensional scaling problem is addressed from a new perspective. I propose a method based on the h-plot, which natural...
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ژورنال
عنوان ژورنال: Journal of Computational and Graphical Statistics
سال: 2011
ISSN: 1061-8600,1537-2715
DOI: 10.1198/jcgs.2010.09139