Fuzzy clustering

Fuzzy clustering (also referred to as soft clustering) is a form of clustering in which each data point can belong to more than one cluster or… (More)
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Highly Cited
2012
Highly Cited
2012
While fuzzy c-means is a popular soft-clustering method, its effectiveness is largely limited to spherical clusters. By applying… (More)
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Highly Cited
2007
Highly Cited
2007
Fuzzy c-means (FCM) algorithms with spatial constraints (FCM_S) have been proven effective for image segmentation. However, they… (More)
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Highly Cited
2005
Highly Cited
2005
In 1997, we proposed the fuzzy-possibilistic c-means (FPCM) model and algorithm that generated both membership and typicality… (More)
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Highly Cited
2002
Highly Cited
2002
nThis paper transmits a FORTRAN-IV coding of the fuzzy c-means (FCM) clustering program. The FCM program is applicable to a wide… (More)
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Highly Cited
2001
Highly Cited
2001
A novel approach to fuzzy clustering for image segmentation is described. The fuzzy C-means objective function is generalized to… (More)
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Highly Cited
1997
Highly Cited
1997
Presented here is a problem of fuzzy clustering with partial supervision, i.e., unsupervised learning completed in the presence… (More)
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Highly Cited
1995
Highly Cited
1995
Many functionals have been proposed for validation of partitions of object data produced by the fuzzy c-means (FCM) clustering… (More)
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Highly Cited
1993
Highly Cited
1993
This paper discusses a general approach to qualitative modeling based on fuzzy logic. The method of qualitative modeling is… (More)
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Highly Cited
1993
Highly Cited
1993
Clustering methods have been used extensively in computer vision and pattern recognition. Fuzzy clustering has been shown to be… (More)
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Highly Cited
1978
Highly Cited
1978
A class of fuzzy ISODATA clustering algorithms has been developed previously which includes fuzzy means. This class of algorithms… (More)
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