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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… 
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Related topics

Related topics

7 relations
Cluster analysisDetermining the number of clusters in a data setEvolving classification functionFLAME clustering

Papers overview

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Highly Cited
2011
Highly Cited
2011
Artificial immune multi-objective SAR image segmentation with fused complementary features
Highly Cited
2008
Highly Cited
2008
A granular-oriented development of functional radial basis function neural networks
2006
2006
A fuzzy technique for food- and water quality assessment with an electronic tongue
2005
2005
A New Convergence Proof of Fuzzy c-Means
Highly Cited
2004
Highly Cited
2004
PoBOC: An Overlapping Clustering Algorithm, Application to Rule-Based Classification and Textual Data
This paper presents the clustering algorithm PoBOC (Pole-Based Overlapping Clustering). It has two main characteristics: the… 
Highly Cited
2003
Highly Cited
2003
A fuzzy hybrid learning algorithm for radial basis function neural network with application in human face recognition
Highly Cited
2002
Highly Cited
2002
A generic fuzzy rule based image segmentation algorithm
Highly Cited
2000
Highly Cited
2000
Analysis of fuzzy thresholding schemes
Highly Cited
1999
Highly Cited
1999
Fuzzy modeling with hybrid systems
Highly Cited
1993
Highly Cited
1993
Fuzzy system design through fuzzy clustering and optimal predefuzzification
An approach to the design of fuzzy systems, assuming that the system specification is given in terms of a large number of sample… 
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