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Proceedings of Annual Conference of China Institute of Communications (CIC 2009 E-BOOK)

Guangzhou,China,11.26-11.27，2009

ISBN: 978-1-935068-10-5 Scientific Research Publishing, USA

E-Book 604pp Pub. Date: March 2010

Category: Computer Science & Communications

Price: $80

Title: A Density Clustering Algorithm Based on Data Partitioning
Source: Proceedings of Annual Conference of China Institute of Communications (CIC 2009 E-BOOK) (pp 251-255)
Author(s): Dongping Li, Kunming University, Kunming, China
Abstract: As a density clustering algorithm, DBSCAN can find the denser part of data-centered samples, and generalize the category in which sample is relatively centered. This article analyzes the traditional DBSCAN clustering algorithm and its flaw, and discusses an implementation of a density clustering algorithm based on data partitioning. The algorithm can solve the memory support and I/O consuming problems when it handles high volume data, and gets faster clustering speed and the best clustering effect.
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