313 search results - page 8 / 63 » Prototype-less Fuzzy Clustering |
EUSFLAT
2007
13 years 8 months ago
2007
Methods like DBSCAN are widely used in the analysis of spatial data. These methods are based on the neighborhood relations which use distance between points. However, these neighb...
HIS
2004
13 years 8 months ago
2004
In this paper, a new fuzzy clustering algorithm that uses cellular learning automata based evolutionary computing (CLA-EC) is proposed. The CLA-EC is a model obtained by combining...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
Results of any clustering algorithm are highly sensitive to features that limit their generalization and hence provide a strong motivation to integrate shape information into the ...
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...
WILF
2007
Springer
14 years 1 months ago
2007
Springer
Two major problems related the unsupervised analysis of gene expression data are represented by the accuracy and reliability of the discovered clusters, and by the biological fact ...