2010 · 16 citations · 4 references
ComputingVisualizationMultivariate VisualizationDimensionality ReductionBregman DivergenceDivergenceMultidimensional ScalingScaling Analysis
Abstract. Curvilinear Component Analysis (CCA) is an interesting flavour of multidimensional scaling. In this paper one version of CCA is proved to be related to the mapping found by a specific Bregman divergence and its stress function is redefined based on this insight, and its parameter (the neighbourhood radius) is explained. 1
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A Nonlinear Mapping for Data Structure Analysis
John W. Sammon · IEEE Transactions on Computers · 1969 · 3.4K citations
Clustering with Bregman Divergences
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon et al. · 2004 · 1.5K citations