A Genetic Algorithm that Exchanges Neighboring Centers for Fuzzy c-Means Clustering
Clustering algorithms are widely used in pattern recognition and data mining applications. Due to their computational efficiency, partitional clustering algorithms are better suited for applications with large datasets than hierarchical clustering algorithms. K-means is among the most popular partit...
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| Format: | Others |
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NSUWorks
2012
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| Online Access: | http://nsuworks.nova.edu/gscis_etd/116 http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1115&context=gscis_etd |