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 cluste...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
UUM Press
2016-05-01
|
| Series: | Journal of ICT |
| Subjects: | |
| Online Access: | https://e-journal.uum.edu.my/index.php/jict/article/view/8169 |