Analisis dan Implementasi minimum-Redundancy-Maximum-Relevance (mRMR) Feature selection pada Klasifikasi Data Analysis and Implementation of minimum-Redundancy-Maximum-Relevance (mRMR)Feature selection on Data Classification

Koleksi

Analisis dan Implementasi minimum-Redundancy-Maximum-Relevance (mRMR) Feature selection pada Klasifikasi Data Analysis and Implementation of minimum-Redundancy-Maximum-Relevance (mRMR)Feature selection on Data Classification
113040096 - Waletta Dinda M
113040096
Tersedia
01 January 2008

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31
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Prodi S1 Teknik Informatika
 
Karya Ilmiah - Skripsi (S1) - Reference
Tel-U Gedung Manterawu Lantai 5