Proceedings of the 2015 International Symposium on Computers & Informatics

An IMPROVED FCM-POSSIBLE CLUSTERING ALGORITHM FOR INTERVAL DATA

Authors
Qing Li, Jianlu Luo, Xiaodong Tan, Xiaoyan Deng, Bing Lu
Corresponding Author
Qing Li
Available Online January 2015.
DOI
10.2991/isci-15.2015.177How to use a DOI?
Keywords
Interval data; Improved FCM-Possible Clustering Algorithm; Average CR index
Abstract

In order to overcome the disadvantages of Fuzzy c-Means(FCM) and possible clustering algorithm in the practical application of interval data, an improved FCM-possible clustering algorithm for interval data is proposed in this paper by combing their merits. The improved clustering algorithm introduce the possibility theory into the clustering problem of interval data, by relaxing the constraints of the sample membership and modifying IFCM algorithm's objective function The results of simulation experiments and the average CR index analysis show that: For the cluster problems containing poorly representative sample data such as noise and outliers, the improved FCM-possible clustering algorithm proposed in this paper is much better than the FCM algorithm and possible clustering algorithm, which can effectively reduce the influence on the clustering result by the noise .

Copyright
© 2015, 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 2015 International Symposium on Computers & Informatics
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/isci-15.2015.177
ISSN
2352-538X
DOI
10.2991/isci-15.2015.177How to use a DOI?
Copyright
© 2015, 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  - Qing Li
AU  - Jianlu Luo
AU  - Xiaodong Tan
AU  - Xiaoyan Deng
AU  - Bing Lu
PY  - 2015/01
DA  - 2015/01
TI  - An IMPROVED FCM-POSSIBLE CLUSTERING ALGORITHM FOR INTERVAL DATA
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 1332
EP  - 1338
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.177
DO  - 10.2991/isci-15.2015.177
ID  - Li2015/01
ER  -