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IDA
2003
Springer
14 years 3 months ago
Fuzzy Clustering Based Segmentation of Time-Series
The segmentation of time-series is a constrained clustering problem: the data points should be grouped by their similarity, but with the constraint that all points in a cluster mus...
János Abonyi, Balazs Feil, Sandor Z. N&eacu...
ICPR
2000
IEEE
14 years 2 months ago
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde...
ISDA
2008
IEEE
14 years 4 months ago
Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering
This study is concerned with the application of multi-objective particle swarm optimization (MOPSO) approaches to the framework of collaborative fuzzy clustering. In particular, t...
Rafael Falc, Benoît Depaire, Koen Vanhoof, A...
ANTSW
2004
Springer
14 years 3 months ago
Fuzzy Ant Based Clustering
Various clustering methods based on the behaviour of real ants have been proposed. In this paper, we develop a new algorithm in which the behaviour of the artificial ants is gover...
Steven Schockaert, Martine De Cock, Chris Cornelis...
WILF
2009
Springer
138views Fuzzy Logic» more  WILF 2009»
14 years 4 months ago
An Experimental Validation of Some Indexes of Fuzzy Clustering Similarity
Measuring the similarity between clusterings is a classic problem with several proposed solutions. In this work we focus on measures based on coassociation of data pairs and perfor...
Stefano Rovetta, Francesco Masulli