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Kernel k-means 1.0
File ID: 84394






Kernel k-means 1.0
Download Kernel k-means 1.0http://www.mathworks.comReport Error Link
License: Shareware
File Size: 20.5 KB
Downloads: 87
Submit Rating:
Kernel k-means 1.0 Description
Description: 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.

Input
K: n x n a semi-definite matrix computed by a kernel function on all sample pairs
m: the number of clusters k (1 x 1) or the initial label of samples (1 x n, 1<=label(i)<=k)

reference: [1] Kernel Methods for Pattern Analysis
by John Shawe-Taylor, Nello Cristianini

sample code:
load data;
K=x'*x; % use linear kernel
label=knkmeans(K,3);
scatterd(x,label)

License: Shareware

Related: Sample, computed, Matrix, semidefinite, pairs, Number, Samples, Label, initial, clusters

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 20.5 KB

Downloads: 87



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