Capturing patterns via parsimonious t mixture models

Parsimonious mixtures of multivariate t-factor analyzers are used for robust clustering of high-dimensional data. Sixteen parsimonious mixtures of t-factor analyzers are utilized and the AECM algorithm is used for parameter estimation. Application to compact facial representation is illustrated.

• Publication year

  2013

• Venue

  Statistics & Probability Letters

• Publication date

  2013-03-10

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/J.SPL.2014.01.015arXiv 1303.2316
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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• Preface

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• Introduction

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• Bibliography

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