Please use this identifier to cite or link to this item:
https://ptsldigital.ukm.my/jspui/handle/123456789/577660| Title: | Data clustering using differential search algorithm |
| Authors: | Vijay Kumar Jitender Kumar Chhabra Dinesh Kumar |
| Keywords: | Data clustering Differential search algorithm Metaheuristic |
| Issue Date: | Jul-2016 |
| Description: | The main challenges of clustering techniques are to tune the initial cluster centres and to avoid the solution being trapped in the local optima. In this paper, a new metaheuristic algorithm, Differential Search (DS), is used to solve these problems. The DS explores the search space of the given dataset to find the near-optimal cluster centres. The cluster centre-based encoding scheme is used to evolve the cluster centres. The proposed DS-based clustering technique is tested over four real-life datasets. The performance of DS-based clustering is compared with four recently developed metaheuristic techniques. The computational results are encouraging and demonstrate that the DS-based clustering provides better values in terms of precision, recall and G-Measure. |
| News Source: | Pertanika Journal of Social Sciences & Humanities |
| ISSN: | 0128-7680 |
| Volume: | 24 |
| Pages: | 295-306 |
| Publisher: | Universiti Putra Malaysia Press |
| Appears in Collections: | Journal Content Pages/ Kandungan Halaman Jurnal |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_82892+Source01+Source010.PDF | 310.85 kB | Adobe PDF |  View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.