Asymmetric biclustering with constrained von Mises-Fisher models

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

研究成果: Conference article査読

2 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号012018
ジャーナルJournal of Physics: Conference Series
699
1
DOI
出版ステータスPublished - 2016 4 6
イベントInternational Meeting on High-Dimensional Data-Driven Science, HD3 2015 - Kyoto, Japan
継続期間: 2015 12 142015 12 17

ASJC Scopus subject areas

  • 物理学および天文学(全般)

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