An Effective em Algorithm for PCA Mixture Model

Zhong Jin, Franck Davoine, Zhen Lou

    Research output: Contribution to journalArticleResearchpeer-review

    2 Citations (Scopus)


    This paper studied PCA mixture model in high dimensional space. A novel EM learning approach by using perturbation was proposed for the PCA mixture model. Experiments showed the novel perturbation EM algorithm is more effective in learning PCA mixture model than an existing constrained EM algorithm. © Springer-Verlag 2004.
    Original languageEnglish
    Pages (from-to)626-634
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Publication statusPublished - 1 Dec 2004


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