Adaptive K-means Algorithm Combining Nearest-Neighbor Matrix and Local Density

Adaptive K-means Algorithm Combining Nearest-Neighbor Matrix and Local Density

To overcome the deficiencies of traditional K-means algorithms which are sensitive to the initial cluster centers and outliers, and their variants introducing densities, which need giving arbitrary parameters, this paper proposes an adaptive K-means clustering algorithm combining the nearest neighbo...

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Bibliographic Details
Main Author: Ailiminuer·Kuerban, XIE Juanying, YAO Ruoxia
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2023-02-01
Series:Jisuanji kexue yu tansuo
Subjects:
adaptive k-means clustering algorithm; density peak principle; nearest-neighbor principle; local density
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2110025.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/2110025.pdf

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