Journal ArticleOPEN ACCESS

An Effective em Algorithm for PCA Mixture Model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 3138 626-634
DOI: 10.1007/978-3-540-27868-9_68
3Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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.

Cite

CITATION STYLE

APA

Jin, Z., Davoine, F., & Lou, Z. (2004). An Effective em Algorithm for PCA Mixture Model. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3138, 626–634. https://doi.org/10.1007/978-3-540-27868-9_68

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free