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A robust entropy regularized K-means clustering algorithm for processing noise in datasets.

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Title: A robust entropy regularized K-means clustering algorithm for processing noise in datasets.
Authors: Jiang, Peilin1, pljiang@xjtu.edu.cn, Cao, Junnan1, caojunnanxjtu@outlook.com, Yu, Weizhong2, yuwz05@mail.xjtu.edu.cn, Nie, Feiping2, caojn@stu.xjtu.edu.cn
Source: Neural Computing & Applications; Mar2025, Vol. 37 Issue 9, p6617-6632, 16p
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="AU" term="%22Jiang%2C+Peilin%22">Jiang, Peilin</searchLink><relatesTo>1</relatesTo>, <i>pljiang@xjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Cao%2C+Junnan%22">Cao, Junnan</searchLink><relatesTo>1</relatesTo>, <i>caojunnanxjtu@outlook.com</i><br /><searchLink fieldCode="AU" term="%22Yu%2C+Weizhong%22">Yu, Weizhong</searchLink><relatesTo>2</relatesTo>, <i>yuwz05@mail.xjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Nie%2C+Feiping%22">Nie, Feiping</searchLink><relatesTo>2</relatesTo>, <i>caojn@stu.xjtu.edu.cn</i>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=183484955
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        Value: 10.1007/s00521-024-10899-4
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      – Code: eng
        Text: English
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              Text: Mar2025
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