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15th International Conference on Pattern Recognition (ICPR'00) - Volume 2
Shapes of Features and a Modified Measure for Linear Discriminant Analysis
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
Cem Ünsalan, Ohio State University
Aytül Erçil, Bogazi?i University
In this paper, the problem of selecting most representative features among a feature set is considered. Two new feature selection algorithms are introduced and their performances are compared with some well-known feature selection algorithms. The algorithms are tested with the iris data set, three artificially generated data sets and a data set obtained from steel surfaces.
Index Terms:
Feature selection, feature extraction, Selection by shape similarity, Fisher's measure with clustering
Citation:
Cem Ünsalan, Aytül Erçil, "Shapes of Features and a Modified Measure for Linear Discriminant Analysis," icpr, vol. 2, pp.2410, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000
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