I-niceMO Enhanced Algorithm Based on Intersection Angel Geometry

Authors

Yifan He, 1.College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China;Follow
Yulin He, 1.College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China;2.National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen 518000, China;Follow
Yongda Cai, 1.College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China;
Zhexue Huang, 1.College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China;2.National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen 518000, China;

Abstract

Abstract: To exactly determine the number of cluster centers and correctly identify the candidate cluster centers, an I-niceMO enhanced(I-niceMOEn) algorithm based on intersection angel geometry is proposed. As many distributions of intersection angles and distances as possible between observation points and data points are utilized to recognize the candidate cluster centers to avoid the neglection of cluster centers. The spectral clustering algorithm is used to automatically merge the candidate cluster centers according to the eigenvalues of Laplacian matrices. The number of final cluster centers is determined by the number of merged candidate cluster centers. The number of clusters can be automatically determined by I-niceMOEn algorithm and the manual parameter input for clustering is not needed. The experimental results show that I-niceMOEn algorithm is convergent and outperforms the traditional automatic clustering methods and I-niceMO algorithm.

Recommended Citation

He, Yifan; He, Yulin; Cai, Yongda; and Huang, Zhexue (2023) "I-niceMO Enhanced Algorithm Based on Intersection Angel Geometry," Journal of System Simulation: Vol. 35: Iss. 4, Article 10.
DOI: 10.16182/j.issn1004731x.joss.21-1333
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss4/10

First Page

797

Revised Date

2022-02-09

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-1333

Last Page

808

CLC

TP391

Recommended Citation

Yifan He, Yulin He, Yongda Cai, Zhexue Huang. I-niceMO Enhanced Algorithm Based on Intersection Angel Geometry[J]. Journal of System Simulation, 2023, 35(4): 797-808.

Corresponding Author

Yulin He,yulinhe@gml.ac.cn

DOI

10.16182/j.issn1004731x.joss.21-1333