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Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/8561
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dc.contributor.advisorKonar, Amit-
dc.contributor.advisorBasak, Piyali-
dc.contributor.authorAcharjee, Arkabrata-
dc.date.accessioned2025-09-12T09:51:46Z-
dc.date.available2025-09-12T09:51:46Z-
dc.date.issued2022-
dc.date.submitted2022-
dc.identifier.otherDC3578-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/8561-
dc.description.abstractThe work presented in this Thesis is mainly focus in the area of clustering, to be more specific in the area of Fuzzy C Means Clustering. The problem is to change the search geometry of the above mentioned algorithm. The shapes which the modified algorithms are required to enforced are Ellipse and Parabola. The task related to shapes were done in [10] and [14]. We try to develop a simpler approach. The cost function was altered and update equations were derived. The algorithm was also modified and tested on artificial datasets. One of the algorithms is also implemented in image processing problem.en_US
dc.format.extentiv,133[6]p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectClusteringen_US
dc.subjectFuzzy C Means Clusteringen_US
dc.titleModifications for fuzzy C means clustering to enforce ellipse and parabola shapes on clustersen_US
dc.typeTexten_US
dc.departmentJadavpur University, Dept. of School of Bioscience and Engineeringen_US
Appears in Collections:Dissertation

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