K-Means Cloning: Adaptive Spherical K-Means Clustering

K-Means Cloning: Adaptive Spherical K-Means Clustering

We propose a novel method for adaptive K-means clustering. The proposed method overcomes the problems of the traditional K-means algorithm. Specifically, the proposed method does not require prior knowledge of the number of clusters. Additionally, the initial identification of the cluster elements h...

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Bibliographic Details
Main Authors: Abdel-Rahman Hedar, Abdel-Monem M. Ibrahim, Alaa E. Abdel-Hakim, Adel A. Sewisy
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Algorithms
Subjects:
data mining
clustering analysis
adaptive K-means
simulated annealing
Online Access:http://www.mdpi.com/1999-4893/11/10/151

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