Union Coding Based Immune Clone Selection Unsupervised Clustering Algorithm

DOI

10.2991/iccasm.2012.346How to use a DOI?

Keywords

Union coding, Immune, Unsupervised clustering, Minimum spanning tree

Abstract

A new union based coding based immune clone selection clustering algorithm is proposed in this paper. The algorithm designs a coding method which synthesizes number of clusters and cluster centers, without first specifying the number of clusters, effectively overcoming the dependency on the domain knowledge. At the same time, generate clustering results by immune clone operator, and get the final results by the lopping operation of minimum spanning tree. Experimental results show that the methods can cluster for different types of data sets properly and can determine the appropriate number of clusters.

Copyright

© 2012, 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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TY  - CONF
AU  - Lichao Mou
AU  - Xiaoying Pan
PY  - 2012/08
DA  - 2012/08
TI  - Union Coding Based Immune Clone Selection Unsupervised Clustering Algorithm
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1352
EP  - 1355
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.346
DO  - 10.2991/iccasm.2012.346
ID  - Mou2012/08
ER  -