The solution space for Fisher discriminant analysis and the uniqueness under constraints

Weishi Zheng, Jianhuang Lai, Pong Chi YUEN

Research output: Contribution to journalArticlepeer-review

Abstract

This paper studies the solution space of Fisher Criteria. The space is large and it is impossible to find the best solution generally. This paper intends to construct an optimal projection, which solves the Fisher criteria and is the unique solution under nonsingular linear transformation if some constraints are0020given. Therefore a theorem is proposed which shows the feasible for constructing the projection, with a simple way to process the construction from the traditional LDA. Experiment result shows the ability and feasible of the proposed solution.

Original languageEnglish
Pages (from-to)313-319
Number of pages7
JournalLecture Notes in Computer Science
Volume3338
DOIs
Publication statusPublished - 2004

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

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