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To overcome these limitations, we propose a hybrid algorithm, DBKIFCM\u2013PSO, which combines distance\u2010based kernelized intuitionistic fuzzy C means clustering with particle swarm optimization. This hybrid approach addresses challenges in noisy datasets and higher\u2010dimensional spaces, providing optimal solutions. We compare DBKIFCM\u2013PSO with existing algorithms on various datasets and demonstrate its superior performance. By integrating DBKIFCM and PSO, our algorithm has shown improved performance on evaluation metrics like , , and  over counterpart method by obtaining best values of 0.9595, 0.1036, and \u221261\u2009120, respectively, on these metrics making it suitable for real\u2010world applications.<\/jats:p>","DOI":"10.1002\/itl2.70157","type":"journal-article","created":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T11:30:41Z","timestamp":1761219041000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>DBKIFCM\u2013PSO<\/scp>\n                    : A Hybrid Approach for Optimized Clustering in Noisy and High\u2010Dimensional Data"],"prefix":"10.1002","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7457-343X","authenticated-orcid":false,"given":"Kanika","family":"Bhalla","sequence":"first","affiliation":[{"name":"USICT Guru Gobind Singh Indraprastha University  Delhi India"}]},{"given":"Anjana","family":"Gosain","sequence":"additional","affiliation":[{"name":"USICT Guru Gobind Singh Indraprastha University  Delhi India"}]}],"member":"311","published-online":{"date-parts":[[2025,10,23]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2024.1352935"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.atech.2025.100828"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCIS.2007.4456869"},{"issue":"2","key":"e_1_2_8_5_1","first-page":"40","article-title":"A Hybrid Clustering Method Based on Improved Artificial Bee Colony and Fuzzy c\u2010Means Algorithm","volume":"15","author":"Kumar A.","year":"2017","journal-title":"International Journal of Artificial Intelligence"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/0098\u20103004(84)90020\u20107"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/91.531779"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/91.580801"},{"volume-title":"Fuzzy Clustering Using Kernel Method","year":"2002","author":"Chen D. 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(1989) 247\u2013250."},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.05.002"}],"container-title":["Internet Technology Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/itl2.70157","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T12:20:04Z","timestamp":1762777204000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/itl2.70157"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,23]]},"references-count":19,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,11]]}},"alternative-id":["10.1002\/itl2.70157"],"URL":"https:\/\/doi.org\/10.1002\/itl2.70157","archive":["Portico"],"relation":{},"ISSN":["2476-1508","2476-1508"],"issn-type":[{"type":"print","value":"2476-1508"},{"type":"electronic","value":"2476-1508"}],"subject":[],"published":{"date-parts":[[2025,10,23]]},"assertion":[{"value":"2025-05-30","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-09-18","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-10-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70157"}}