An Improved PAM Clustering Algorithm Based on Initial Clustering Centers

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 distributio...

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Vydané v:Applied Mechanics and Materials Ročník 135-136; s. 244 - 249
Hlavní autori: Yang, Mei Jie, Lei, Da Jiang, Zhang, Li Sheng
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Zurich Trans Tech Publications Ltd 01.10.2011
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ISBN:3037852909, 9783037852903
ISSN:1660-9336, 1662-7482, 1662-7482
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Shrnutí: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.
Bibliografia:Selected, peer reviewed papers from the 2011 WASE Global Conference on Science Engineering (GCSE 2011), December 10-11, 2011, Taiyuan & Xian, China
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content type line 14
ISBN:3037852909
9783037852903
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.135-136.244