High-dimensional Clustering Method Based on Variant Bat Algorithm

Authors

Kou Guang, 1. The PLA Information Engineering University, Zhengzhou 450001, China; ;2. Science and Technology on Information Assurance Laboratory, Beijing 100072, China;
Guangming Tang, 1. The PLA Information Engineering University, Zhengzhou 450001, China; ;
Jiajing He, 1. The PLA Information Engineering University, Zhengzhou 450001, China; ;
Hengwei Zhang, 1. The PLA Information Engineering University, Zhengzhou 450001, China; ;

Abstract

Abstract: With the advent of the era of big data, the information resource is growing rapidly, and the data are becoming high-dimensional. Traditional clustering methods have a good effect for low-dimensional data, but no longer apply to high-dimensional data. On the basis of existing high-dimensional clustering algorithm, a high-dimensional clustering algorithm based on intelligent optimization SSC-BA is proposed. A novel objective function is designed, which integrates the fuzzy weighting within-cluster compactness and the between-cluster separation. A variant bat algorithm is introduced to calculate the weight matrix, giving the new learning rules. Simulation experiments are made for the proposed algorithm, and other soft subspace clustering algorithm is compared with the test. Experimental results show that the clustering algorithm is suitable for high-dimensional data, and has certain performance advantages compared with other algorithms.

Recommended Citation

Guang, Kou; Tang, Guangming; He, Jiajing; and Zhang, Hengwei (2019) "High-dimensional Clustering Method Based on Variant Bat Algorithm," Journal of System Simulation: Vol. 30: Iss. 4, Article 6.
DOI: 10.16182/j.issn1004731x.joss.201804006
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss4/6

First Page

1253

Revised Date

2016-06-25

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201804006

Last Page

1259

CLC

TP311

Recommended Citation

Kou Guang, Tang Guangming, He Jiajing, Zhang Hengwei. High-dimensional Clustering Method Based on Variant Bat Algorithm[J]. Journal of System Simulation, 2018, 30(4): 1253-1259.

DOI

10.16182/j.issn1004731x.joss.201804006