SIMILARITY BASED ENTROPY ON FEATURE SELECTION FOR HIGH DIMENSIONAL DATA CLASSIFICATION
Abstract Curse of dimensionality is a major problem in most classification tasks. Feature transformation and feature selection as a feature reduction method can be applied to overcome this problem. Despite of its good performance, feature transformation is not easily interpretable because the physi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2014-08-01
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| Series: | Jurnal Ilmu Komputer dan Informasi |
| Online Access: | http://jiki.cs.ui.ac.id/index.php/jiki/article/view/263 |