An Improved DBSCAN Clustering Algorithm Based on Data Field

DBSCAN (density based spatial clustering of applications with noise) algorithm is a typical density-based clustering algorithm. The algorithm can discover the arbitrary-shaped clusters. However, the clustering results depend on the two parameters Eps and MinPts which are chosen by users. And for som...

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Bibliographic Details

Published in:	Jisuanji Kexue yu Tansuo / Journal of Computer Science and Frontiers Vol. 6; no. 10; pp. 903 - 911
Main Authors:	Yang, Jing, Gao, Jiawei, Liang, Jiye, Liu, Yanglei
Format:	Journal Article
Language:	Chinese
Published:	01.10.2012
Subjects:	Algorithms Clustering Clusters Density EPS Labels Noise
ISSN:	1673-9418
Online Access:	Get full text
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