KPCA for semantic object extraction in images

Publisher:
Pergamon-Elsevier Science Ltd
Publication Type:
Journal Article
Citation:
Pattern Recognition, 2008, 41 (10), pp. 3244 - 3250
Issue Date:
2008-01
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In this paper, we kernelize conventional clustering algorithms from a novel point of view. Based on the fully mathematical proof, we first demonstrate that kernel KMeans (KKMeans) is equivalent to kernel principal component analysis (KPCA) prior to the c
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