GF-CLUST: A nature-inspired algorithm for automatic text clustering
Text clustering is a task of grouping similar documents into a cluster while assigning the dissimilar ones in other clusters.A well-known clustering method which is the K-means algorithm is extensively employed in many disciplines.However, there is a big challenge to determine the number of clusters...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Universiti Utara Malaysia
2016
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| 主題: | |
| オンライン･アクセス: | http://repo.uum.edu.my/18484/1/JICT%2015%201%20%202016%2057%E2%80%9381.pdf http://repo.uum.edu.my/18484/ http://www.jict.uum.edu.my/images/pdf3/vol15no1/31jict1512016.pdf |
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