Nagabhushan et al., 2014 - Google Patents

Target class supervised feature subsetting

Nagabhushan et al., 2014

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Document ID
16057901741225177040
Author
Nagabhushan P
Meenakshi H
Publication year
Publication venue
International Journal of Computer Applications

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Snippet

Dimensionality Reduction may result in contradicting effectsthe advantage of minimizing the number of features coupled with the disadvantage of information loss leading to incorrect classification or clustering. This could be the problem when one tries to extract all classes …
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Classifications

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    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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