Clustering probability distributions
Tai Vo Van and
T. Pham-Gia
Journal of Applied Statistics, 2010, vol. 37, issue 11, 1891-1910
Abstract:
This article presents some theoretical results on the maximum of several functions, and its use to define the joint distance of k probability densities, which, in turn, serves to derive new algorithms for clustering densities. Numerical examples are presented to illustrate the theory.
Keywords: maximum function; cluster; L1-distance; Bayes error; hierarchical approach (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1080/02664760903186049
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