Discriminant plots obtained via removal of classification structures

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A new method for stepwise discriminant analysis, called "removal of classification structures", is proposed. Its novelty lies in the transformation of the data along a found discriminant direction into data without discriminant information and iteration to obtain the next discriminant direction. The proposed method can be applied to any discriminant criterion. It is free to search for discriminant directions oblique to each other and ensures that the informative directions already found will not be found again later. A comparative experiment with artificially constructed data shows that the new method is better than the stepwise methods used in statistical pattern recognition.

Original languageEnglish
Title of host publicationProceedings of the 12th IAPR International Conference on Pattern Recognition - Conference B
Subtitle of host publicationPattern Recognition and Neural Networks, ICPR 1994
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages67-71
Number of pages5
ISBN (Electronic)0818662700
StatePublished - 1 Jan 1994
Event12th IAPR International Conference on Pattern Recognition - Conference B: Pattern Recognition and Neural Networks, ICPR 1994 - Jerusalem, Israel
Duration: 9 Oct 199413 Oct 1994

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume2
ISSN (Print)1051-4651

Conference

Conference12th IAPR International Conference on Pattern Recognition - Conference B: Pattern Recognition and Neural Networks, ICPR 1994
Country/TerritoryIsrael
CityJerusalem
Period9/10/9413/10/94

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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