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- Graph Recognize
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- Update:
- 2012-11-26
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- leb925
Description: Class separability of discrimination, feature selection and feature extraction task is to find a set of classification of the most effective feature thus the need for more quantitative analysis method to determine the characteristics obtained by the use of dimension and characteristics are most favorable to the classification This test for quantitative performance criteria for classification as class separability criterion. Class separability criterion, used to test different combinations of features of good and bad effects on the classification performance, and used to derive the feature selection and feature extraction methods. Ideal criteria: a set of characteristics so that the minimum classification error probability
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Class separability.pptx
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