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On Clustering Histograms with k-Means by Using Mixed alpha-Divergences

Nielsen, Frank; Nock, Richard; Amari, Shun-ichi


Clustering sets of histograms has become popular thanks to the success of the generic method of bag-of-X used in text categorization and in visual categorization applications. In this paper, we investigate the use of a parametric family of distortion measures, called the α-divergences, for clustering histograms. Since it usually makes sense to deal with symmetric divergences in information retrieval systems, we symmetrize the α-divergences using the concept of mixed divergences. First, we...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Journal article
Source: Entropy
DOI: 10.3390/e16063273
Access Rights: Open Access


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