Study on Parallel Clustering Based on Asynchronous Communication

Author

Zhu, YingHui ; Jiang, YuZhen ; Liu, Bo

Author_Institution

Coll. of Math. & Inf. Technol., Hanshan Normal Univ., Chaozhou

Volume

2

fYear

2009

fDate

30-31 May 2009

Firstpage

24

Lastpage

27

Abstract

In order to improve the speed of clustering data mining, aiming at the characteristics of BIRCH algorithm, this paper has done research and analysis on rapid clustering data mining in the cluster system, and presented several improvement suggestions such as using data parallel thinking, uniform data distribution strategy , clustering communication mode and the optimization of clustering results. Experiment results show that the paralleling algorithm using asynchronous communication can achieve better performance and speedup than that synchronous one.

Keywords

data mining; parallel algorithms; pattern clustering; BIRCH algorithm; asynchronous communication; data mining; parallel clustering; Asynchronous communication; Chaotic communication; Clustering algorithms; Concurrent computing; Data mining; Educational institutions; Electronic mail; Information technology; Machine learning algorithms; Mathematics; Asynchronous Communication; Cluster; Clustering; Data Mining; Parallel;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking and Digital Society, 2009. ICNDS '09. International Conference on

Conference_Location

Guiyang, Guizhou

Print_ISBN

978-0-7695-3635-4

Type

conf

DOI

10.1109/ICNDS.2009.86

Filename

5116675