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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 3
689-695

Bionic pattern classification algorithm for hypersphere coverage based on improved ISODATA

Liu Liping1
Feng Qingxian2
Yu Zhibin1
1. School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China
2. The 29th Research Institute of China Electro-nics Technology Corporation, Chengdu 610036, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0405

Abstract

The existing biomimetic pattern recognition classifiers cannot solve the problems of classification with multiple aggregation points, nonlinear and sparse samples. Therefore, this paper introduced the contribution degree of feature classification, and proposed a hypersphere coverage bionic pattern recognition algorithm based on improved iterative self-organizing data analysis(M-ISODATA). Firstly, this paper introduced Markov distance to replace Euclidean distance of the self-organized data analysis method(ISODATA), and introduced entropy weight method to give each feature different contribution degrees. At the same time, in order to remove the interference sample points, this paper introduced an improved local outlier detection method(M-LOF) to train the samples, which reduced the overlapping area between different classes of manifolds. Then, it used the improved self-organizing data analysis method(M-ISODATA) to dynamically cluster each type of training sample points. After finding the center of the coverage area of multiple subcategories of the same class, this paper used the hypersphere to effectively cover the class, and divided the test sample points falling into the overlapping area twice to achieve the correct classification of test samples. Finally, it verified the validity of the algorithm on iris dataset, and applied the algorithm to the classification and recognition of radar emitter signals. The experimental results show that the algorithm has a good ability to reject recognition and avoid repeated training, and the recognition rate for radar signals can reach 97.29%, which is better than the traditional typical pattern recognition algorithm.

Foundation Support

装备发展部领域基金资助项目
电磁应用重点实验室基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0405
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 3
Section: Algorithm Research & Explore
Pages: 689-695
Serial Number: 1001-3695(2023)03-008-0689-07

Publish History

[2022-10-27] Accepted Paper
[2023-03-05] Printed Article

Cite This Article

刘莉萍, 冯清贤, 余志斌. 基于改进的ISODATA的超球覆盖仿生模式分类算法 [J]. 计算机应用研究, 2023, 40 (3): 689-695. (Liu Liping, Feng Qingxian, Yu Zhibin. Bionic pattern classification algorithm for hypersphere coverage based on improved ISODATA [J]. Application Research of Computers, 2023, 40 (3): 689-695. )

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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