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Adaptive Optimization of the Number of Clusters in Fuzzy Clustering | IEEE Conference Publication | IEEE Xplore

Adaptive Optimization of the Number of Clusters in Fuzzy Clustering


Abstract:

In this paper, we present a local, adaptive optimization scheme for adjusting the number of clusters in fuzzy C-means clustering. This method is especially motivated by o...Show More

Abstract:

In this paper, we present a local, adaptive optimization scheme for adjusting the number of clusters in fuzzy C-means clustering. This method is especially motivated by online applications in which a potentially changing clustering structure must be maintained over time, though it turns out to be useful in the static case as well. As part of the method, we propose a new validity measure for fuzzy partitions which is a modification of the commonly used Xie-Beni index and overcomes some deficiencies thereof.
Date of Conference: 23-26 July 2007
Date Added to IEEE Xplore: 27 August 2007
ISBN Information:
Print ISSN: 1098-7584
Conference Location: London, UK

References

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