Paper Title:
An Improved PAM Clustering Algorithm Based on Initial Clustering Centers
  Abstract

This paper proposes a novel clustering algorithm with the steady initial center based on the PAM algorithm. As the PAM algorithm arbitrarily chooses the initial centers, this new algorithm improves the location of the initial center, which makes the initial choice much closer to the data distribution. It also overcomes the blindness of generating initial central points. The experimental results show that this algorithm is effective which performs better in classification efficiency and quality, and it also decreases the number of iterations.

  Info
Periodical
Chapter
Chapter 2: Network & Control
Edited by
Robin G. Qiu and Yongfeng Ju
Pages
244-249
DOI
10.4028/www.scientific.net/AMM.135-136.244
Citation
L. S. Zhang, M. J. Yang, D. J. Lei, "An Improved PAM Clustering Algorithm Based on Initial Clustering Centers", Applied Mechanics and Materials, Vols. 135-136, pp. 244-249, 2012
Online since
October 2011
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