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

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

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 clust...

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Bibliographic Details
Main Authors: Frank Nielsen, Richard Nock, Shun-ichi Amari
Format: Article
Language:English
Published: MDPI AG 2014-06-01
Series:Entropy
Subjects:
bag-of-X
α-divergence
Jeffreys divergence
centroid
k-means clustering
k-means seeding
Online Access:http://www.mdpi.com/1099-4300/16/6/3273

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http://www.mdpi.com/1099-4300/16/6/3273

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