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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| Veröffentlicht in: | Applied Mechanics and Materials Jg. 135-136; S. 244 - 249 |
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| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Zurich
Trans Tech Publications Ltd
01.10.2011
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| Schlagworte: | |
| ISBN: | 3037852909, 9783037852903 |
| ISSN: | 1660-9336, 1662-7482, 1662-7482 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | 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. |
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| Bibliographie: | Selected, peer reviewed papers from the 2011 WASE Global Conference on Science Engineering (GCSE 2011), December 10-11, 2011, Taiyuan & Xian, China ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISBN: | 3037852909 9783037852903 |
| ISSN: | 1660-9336 1662-7482 1662-7482 |
| DOI: | 10.4028/www.scientific.net/AMM.135-136.244 |