A New Approach in Feature Subset Selection Based on Fuzzy Entropy Concept
Publish place: 14th annual International CSI Computer Conference
Publish Year: 1388
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSICC14_094
تاریخ نمایه سازی: 24 خرداد 1388
Abstract:
In this paper, we proposed a new feature subset selection approach. In proposed approach first, the entire dataset are classified and the best number of clusters over it are found according to silhouette value. Then according to this value, each feature is alone classified with the same cluster number and accordingly the proposed entropy fuzzy measure is found for them. We examine our method on some traditional datasets. The results show a good performance of proposed method
Authors
Hossein Ghaffarian
Computer Engineering School, Iran University of Science and Technology, Narmak, Tehran, Iran
Hamid Parvin
Computer Engineering School, Iran University of Science and Technology, Narmak, Tehran, Iran
Behrouz Minaei
Computer Engineering School, Iran University of Science and Technology, Narmak, Tehran, Iran