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Algorithm Research & Explore
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2651-2655

Fuzzy cluster validity index under datasets with adjacent class and small class

Geng Jiayi
Qian Xuezhong
Zhou Shibing
School of Internet of Things Engineering, Jiangnan University, Wuxi Jiangsu 214122, China

Abstract

The fuzzy cluster validity index is mainly to solve the defect that the fuzzy C-means algorithm needs to give the optimal number of clusters in advance, but most of the existing fuzzy cluster validity index are generally too dependent on the cluster centroid, which make it impossible to accurately judge optimal to clustering number in the datasets containing adjacent classes and large differences in size and density. In order to alleviate this problem, this paper proposed a new cluster validity index WS. WS index considered the maximum and minimum membership degree rule and the fuzzy deviation of the dataset to a certain extent, comprehensively showed the overall information of the datasets. In the artificial and actual datasets, this paper evaluated the effectiveness of WS index and some existing indexes. The new WS index shows high accuracy and better robustness.

Foundation Support

国家自然科学基金资助项目(61673193)
中央高校基本科研业务费专项资金资助项目(JUSRP11235)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.04.0117
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 9
Section: Algorithm Research & Explore
Pages: 2651-2655
Serial Number: 1001-3695(2020)09-017-2651-05

Publish History

[2020-09-05] Printed Article

Cite This Article

耿嘉艺, 钱雪忠, 周世兵. 紧邻类与小类数据集下的模糊聚类有效性指标 [J]. 计算机应用研究, 2020, 37 (9): 2651-2655. (Geng Jiayi, Qian Xuezhong, Zhou Shibing. Fuzzy cluster validity index under datasets with adjacent class and small class [J]. Application Research of Computers, 2020, 37 (9): 2651-2655. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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