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Fuzzy semi-supervised clustering with target clusters using different additional terms | IEEE Conference Publication | IEEE Xplore

Fuzzy semi-supervised clustering with target clusters using different additional terms


Abstract:

This paper discusses a method of semi-supervised fuzzy clustering with target clusters. The method uses two kinds of additional terms to ordinary fuzzy c-means objective ...Show More

Abstract:

This paper discusses a method of semi-supervised fuzzy clustering with target clusters. The method uses two kinds of additional terms to ordinary fuzzy c-means objective function. One term consists of the sum of squared differences between the target cluster memberships and the membership of the solution, whereas second term has the sum of absolute differences of those memberships. While the former has a closed formula for the membership solution, the second requires a complicated algorithm. However, numerical example show that the latter method of the absolute differences works better.
Date of Conference: 17-19 August 2009
Date Added to IEEE Xplore: 22 September 2009
Print ISBN:978-1-4244-4830-2
Conference Location: Nanchang, China

References

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