Kernel k-means 1.0

Date Added: April 17, 2013 | Visits: 243

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This function performs kernel version of kmeans algorithm. When the linear kernel (i.e., inner product) is used, the algorithm is equivalent to standard kmeans algorithm.InputK: n x n a semi-definite matrix computed by a kernel function on all sample pairsm: the number of clusters k (1 x 1) or the initial label of samples (1 x n, 1

Requirements: No special requirements

Platforms: Matlab

Keyword: Clusters, Computed, Initial, Label, Matrix, Number, Pairs, Sample, Samples, Semidefinite

Users rating: 0/10

License: Shareware

Size: 20.48 KB

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