Asymmetric biclustering with constrained von Mises-Fisher models

Kazuho Watanabe, Hsiang Yun Wu, Shigeo Takahashi, Issei Fujishiro

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Abstract

As a probability distribution on the high-dimensional sphere, the von Mises-Fisher (vMF) distribution is widely used for directional statistics and data analysis methods based on correlation. We consider a constrained vMF distribution for block modeling, which provides a probabilistic model of an asymmetric biclustering method that uses correlation as the similarity measure of data features. We derive the variational Bayesian inference algorithm for the mixture of the constrained vMF distributions. It is applied to a multivariate data visualization method implemented with enhanced parallel coordinate plots.

Original languageEnglish
Article number012018
JournalJournal of Physics: Conference Series
Volume699
Issue number1
DOIs
Publication statusPublished - 2016 Apr 6

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ASJC Scopus subject areas

  • Physics and Astronomy(all)

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