Asymmetric biclustering with constrained von Mises-Fisher models

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

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


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
Issue number1
Publication statusPublished - 2016 Apr 6
EventInternational Meeting on High-Dimensional Data-Driven Science, HD3 2015 - Kyoto, Japan
Duration: 2015 Dec 142015 Dec 17

ASJC Scopus subject areas

  • General Physics and Astronomy


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