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 MoreMetadata
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.
Published in: 2007 IEEE International Fuzzy Systems Conference
Date of Conference: 23-26 July 2007
Date Added to IEEE Xplore: 27 August 2007
ISBN Information:
Print ISSN: 1098-7584