FEATURE SELECTION METHODS BASED ON MUTUAL INFORMATION FOR CLASSIFYING HETEROGENEOUS FEATURES
Datasets with heterogeneous features can affect feature selection results that are not appropriate because it is difficult to evaluate heterogeneous features concurrently. Feature transformation (FT) is another way to handle heterogeneous features subset selection. The results of transformation from...
Main Authors: | Ratri Enggar Pawening, Tio Darmawan, Rizqa Raaiqa Bintana, Agus Zainal Arifin, Darlis Herumurti |
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Format: | Article |
Language: | English |
Published: |
Universitas Indonesia
2016-06-01
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Series: | Jurnal Ilmu Komputer dan Informasi |
Subjects: | |
Online Access: | http://jiki.cs.ui.ac.id/index.php/jiki/article/view/384 |
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