The hybrid feature selection k-means method for Arabic webpage classification
The high-dimensional data features found in the enormous amount of Arabic text available on the Internet is an important research problem in Web information retrieval. It reduces the accuracy of the clustering algorithms and maximizes the processing time. Selecting the relevant features is the best...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Penerbit UTM Press
2014
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/62935/ http://dx.doi.org/10.11113/jt.v70.3518 |
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| Institution: | Universiti Teknologi Malaysia |
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