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In this manner, this paper intends to propose a new outlier detection model via enhanced k-means with outlier removal (E-KMOR), which assigns all outliers into a group naturally during the clustering process. For assigning the point to be outliers, a new intra-cluster based distance evaluation is employed. The main contribution of this paper is to select cluster centroid optimally through a newly proposed hybrid optimization algorithm termed particle updated lion algorithm (PU-LA), which hybrids the concepts of LA and particle swarm optimization (PSO), respectively. Thereby, the proposed work is named as E-KMOR-PU-LA.\u00a0Finally, the efficacy of the proposed E-KMOR-PU-LA model is proved through a comparative analysis over conventional models by concerning runtime and accuracy. <\/jats:p>","DOI":"10.1142\/s0218001422590078","type":"journal-article","created":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T03:52:22Z","timestamp":1655783542000},"source":"Crossref","is-referenced-by-count":5,"title":["k-Means Clustering with Optimal Centroid: An Optimization Insisted Model for Removing Outliers"],"prefix":"10.1142","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5671-8220","authenticated-orcid":false,"given":"Kumar","family":"Rahul","sequence":"first","affiliation":[{"name":"Department of Basic and Applied Science, NIFTEM, Sonipat 131028, Haryana, India"}]},{"given":"Rohitash Kumar","family":"Banyal","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Rajasthan Technical University, Kota 324010, Rajasthan, India"}]}],"member":"219","published-online":{"date-parts":[[2022,6,20]]},"reference":[{"issue":"22","key":"S0218001422590078BIB001","first-page":"1","volume":"71","author":"Abrol V.","year":"2013","journal-title":"Int. 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