Grey Wolf Algorithm-Based Clustering Technique
The main problem of classical clustering technique is that it is easily trapped in the local optima. An attempt has been made to solve this problem by proposing the grey wolf algorithm (GWA)-based clustering technique, called GWA clustering (GWAC), through this paper. The search capability of GWA is...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2017-01-01
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| Series: | Journal of Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/jisys-2014-0137 |
| _version_ | 1831767394634170368 |
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| author | Kumar Vijay Chhabra Jitender Kumar Kumar Dinesh |
| author_facet | Kumar Vijay Chhabra Jitender Kumar Kumar Dinesh |
| author_sort | Kumar Vijay |
| collection | DOAJ |
| description | The main problem of classical clustering technique is that it is easily trapped in the local optima. An attempt has been made to solve this problem by proposing the grey wolf algorithm (GWA)-based clustering technique, called GWA clustering (GWAC), through this paper. The search capability of GWA is used to search the optimal cluster centers in the given feature space. The agent representation is used to encode the centers of clusters. The proposed GWAC technique is tested on both artificial and real-life data sets and compared to six well-known metaheuristic-based clustering techniques. The computational results are encouraging and demonstrate that GWAC provides better values in terms of precision, recall, G-measure, and intracluster distances. GWAC is further applied for gene expression data set and its performance is compared to other techniques. Experimental results reveal the efficiency of the GWAC over other techniques. |
| first_indexed | 2024-12-22T06:41:43Z |
| format | Article |
| id | doaj.art-974c4c2a261f4a3d8e1712120ce202a2 |
| institution | Directory Open Access Journal |
| issn | 0334-1860 2191-026X |
| language | English |
| last_indexed | 2024-12-22T06:41:43Z |
| publishDate | 2017-01-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Journal of Intelligent Systems |
| spelling | doaj.art-974c4c2a261f4a3d8e1712120ce202a22022-12-21T18:35:25ZengDe GruyterJournal of Intelligent Systems0334-18602191-026X2017-01-0126115316810.1515/jisys-2014-0137Grey Wolf Algorithm-Based Clustering TechniqueKumar Vijay0Chhabra Jitender Kumar1Kumar Dinesh2Computer Science and Engineering Department, Thapar University, Patiala, Punjab, IndiaComputer Engineering Department, National Institute of Technology, Kurukshetra, Haryana, IndiaComputer Science and Engineering Department, GJUS and T, Hisar, Haryana, IndiaThe main problem of classical clustering technique is that it is easily trapped in the local optima. An attempt has been made to solve this problem by proposing the grey wolf algorithm (GWA)-based clustering technique, called GWA clustering (GWAC), through this paper. The search capability of GWA is used to search the optimal cluster centers in the given feature space. The agent representation is used to encode the centers of clusters. The proposed GWAC technique is tested on both artificial and real-life data sets and compared to six well-known metaheuristic-based clustering techniques. The computational results are encouraging and demonstrate that GWAC provides better values in terms of precision, recall, G-measure, and intracluster distances. GWAC is further applied for gene expression data set and its performance is compared to other techniques. Experimental results reveal the efficiency of the GWAC over other techniques.https://doi.org/10.1515/jisys-2014-0137grey wolf algorithmdata clusteringk-meansmetaheuristics |
| spellingShingle | Kumar Vijay Chhabra Jitender Kumar Kumar Dinesh Grey Wolf Algorithm-Based Clustering Technique Journal of Intelligent Systems grey wolf algorithm data clustering k-means metaheuristics |
| title | Grey Wolf Algorithm-Based Clustering Technique |
| title_full | Grey Wolf Algorithm-Based Clustering Technique |
| title_fullStr | Grey Wolf Algorithm-Based Clustering Technique |
| title_full_unstemmed | Grey Wolf Algorithm-Based Clustering Technique |
| title_short | Grey Wolf Algorithm-Based Clustering Technique |
| title_sort | grey wolf algorithm based clustering technique |
| topic | grey wolf algorithm data clustering k-means metaheuristics |
| url | https://doi.org/10.1515/jisys-2014-0137 |
| work_keys_str_mv | AT kumarvijay greywolfalgorithmbasedclusteringtechnique AT chhabrajitenderkumar greywolfalgorithmbasedclusteringtechnique AT kumardinesh greywolfalgorithmbasedclusteringtechnique |