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Publikováno v:
Advances in Data Analysis and Classification. 8:377-401
Feature selection is critical to maintain high performance of classification-based fault diagnosis with a large feature size. In this paper, we propose a criterion to evaluate features effectiveness by class separability that is defined on cosine sim