797 search results - page 9 / 160 » Adaptive Optimization of the Number of Clusters in Fuzzy Clu... |
EUSFLAT
2009
14 years 9 months ago
2009
Fuzzy clustering is well known as a robust and efficient way to reduce computation cost to obtain the better results. In the literature, many robust fuzzy clustering models have be...
PAKDD
2005
ACM
15 years 5 months ago
2005
ACM
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
102
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EUSFLAT
2007
15 years 1 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...
113
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CEC
2007
IEEE
15 years 6 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 ...
ICML
2005
IEEE
16 years 13 days ago
2005
IEEE
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...