K-means clustering based filter feature selection on high dimensional data
With hundreds or thousands of features in high dimensional data, computational workload is challenging. In classification process, features which do not contribute significantly to prediction of classes, add to the computational workload. Therefore the aim of this paper is to use feature selection t...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Universitas Ahmad Dahlan
2016-03-01
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Series: | IJAIN (International Journal of Advances in Intelligent Informatics) |
Subjects: | |
Online Access: | http://ijain.org/index.php/IJAIN/article/view/54 |