| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1154703 | Statistics & Probability Letters | 2014 | 8 Pages |
Abstract
Parsimonious mixtures of multivariate tt-factor analyzers are used for robust clustering of high-dimensional data. Sixteen parsimonious mixtures of tt-factor analyzers are utilized and the AECM algorithm is used for parameter estimation. Application to compact facial representation is illustrated.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Tsung-I Lin, Paul D. McNicholas, Hsiu J. Ho,