Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

A Dispersive Degree based Clustering Algorithm Combined with Classification

Authors
Xianchao Zhang1, Shimin Shan, Zhihang Yu, He Jiang
1School of Software, Dalian University of Technology
Corresponding Author
Xianchao Zhang
Available Online October 2007.
DOI
10.2991/iske.2007.180How to use a DOI?
Keywords
Clustering analysis; Various-density; Dispersive degree; Data mining
Abstract

The various-density problem has become one of the focuses in density based clustering research. A novel dispersive degree based algorithm combined with classification, called CDDC, is presented in this paper to remove the hurdle. In CDDC, a sequence is established for depicting the data distribution, discriminating cores and classifying edges. Clusters are discovered by utilizing the revealed information. Several experiments were performed and the results suggest that CDDC is effective in handling the various-density problem and is more efficient than the well-known algorithms such as DBSCAN, OPTICS and KNNCLUST.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
10.2991/iske.2007.180
ISSN
1951-6851
DOI
10.2991/iske.2007.180How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xianchao Zhang
AU  - Shimin Shan
AU  - Zhihang Yu
AU  - He Jiang
PY  - 2007/10
DA  - 2007/10
TI  - A Dispersive Degree based Clustering Algorithm Combined with Classification
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1059
EP  - 1065
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.180
DO  - 10.2991/iske.2007.180
ID  - Zhang2007/10
ER  -