Article ID Journal Published Year Pages File Type
10362208 Pattern Recognition Letters 2005 8 Pages PDF
Abstract
Fuzzy c-means with feature partitions uses a generalized metric on feature subsets to increase centroid robustness. Each feature partition may use a unique metric and is weighted for relevance. This method is demonstrated on synthetic and real datasets.
Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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Robust centroids using fuzzy clustering with feature partitions
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