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Lin et al., 2004 - Google Patents

Fuzzy discriminant analysis with outlier detection by genetic algorithm

Lin et al., 2004

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Document ID
10060093121960369681
Author
Lin C
Chen A
Publication year
Publication venue
Computers & Operations Research

External Links

Snippet

This paper proposes a method for performing fuzzy multiple discriminant analysis on groups of crisp data and determining the membership function of each group by minimizing the classification error using a genetic algorithm. Euclidean distance is used to measure the …
Continue reading at ir.lib.nycu.edu.tw (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6279—Classification techniques relating to the number of classes
    • G—PHYSICS
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    • G06K9/6228—Selecting the most significant subset of features
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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/6269—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on the distance between the decision surface and training patterns lying on the boundary of the class cluster, e.g. support vector machines
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