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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 4
1088-1094

Weighted knowledge amount-based intuitionistic fuzzy C-means method

Guo Kaihong
Wu Zheng
Li Dong
School of Information, Liaoning University, Shenyang 110036, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0444

Abstract

Aiming at the differences in the contribution of feature data to the cluster centers in the clustering algorithm and the sensitivity of the algorithm to the initial cluster centers, this paper proposed a weighted knowledge amount-based intuitionistic fuzzy C-means method(WKAIFCM). Firstly, this method fuzzed the original dataset intuitionistically and improved the latest intuitionistic fuzzy knowledge measure to calculate the knowledge amount which utilized in the feature weighting of dataset. Secondly, this method initialized the cluster centers to improve the calculation accuracy and clustering efficiency of high-dimensional feature dataset by kernel space density and kernel distance. Finally, based on the principle of sample distance between clusters and the principle of minimum knowledge amount, this method established a clustering optimization model to get the optimal iterative algorithm. The experimental results based on the UCI artificial dataset show that the proposed method can greatly improve the accuracy and iterative efficiency of clustering. The classification accuracy and execution efficiency are increased by 10.63% and 31.75% respectively, and this method has good universality and stability. This paper introduces a new theory of knowledge measure into fuzzy clustering for the first time and gets extraordinary results, which creates a new case for the potential application of this theory in other related fields.

Foundation Support

国家自然科学基金资助项目(71771110)
辽宁省教育厅科学研究项目(LJKZ0094)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0444
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 4
Section: Algorithm Research & Explore
Pages: 1088-1094
Serial Number: 1001-3695(2023)04-021-1088-07

Publish History

[2022-12-07] Accepted Paper
[2023-04-05] Printed Article

Cite This Article

郭凯红, 吴峥, 李冬. 基于知识量加权的直觉模糊均值聚类方法 [J]. 计算机应用研究, 2023, 40 (4): 1088-1094. (Guo Kaihong, Wu Zheng, Li Dong. Weighted knowledge amount-based intuitionistic fuzzy C-means method [J]. Application Research of Computers, 2023, 40 (4): 1088-1094. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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