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Paper
Title

Homogeneousness and Density-based Cluster Validity Index

هفدهمین کنفرانس بین المللی مهندسی صنایع
Year: 1399
COI: IIEC17_101
Language: EnglishView: 227
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Authors

Sajjad Rahmani - Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran;
Seyed Taghi Akhavan Niaki - Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran

Abstract:

Clustering validation, despite classification, is not that straightforward. Different algorithms with different parameters can produce different clusters. Without having prior knowledge, choosing the proper algorithm and parameters would be a challenging task. Therefore, the cluster validity index(CVI) plays an essential role in cluster evaluation. Although there are many CVIs available in the literature, most of them cannot handle arbitrary shapes. In this paper, a novel cluster validity index is proposed based on the homogeneousness and density of clusters that can handle arbitrary shapes.Experiments on a total of 28 real and synthetic datasets reveal promising results, based on which the efficacy and applicability of the proposed CVI for clustering evaluation is demonstrated

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Paper COI Code

This Paper COI Code is IIEC17_101. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1160966/

How to Cite to This Paper:

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Rahmani, Sajjad and Akhavan Niaki, Seyed Taghi,1399,Homogeneousness and Density-based Cluster Validity Index,17th Iranian International Industrial Engineering Conference,Mashhad,https://civilica.com/doc/1160966

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Type of center: دانشگاه دولتی
Paper count: 14,809
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