K-medoids 1.0

Date Added: June 14, 2013 | Visits: 277

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Efficient implementation of K-medoids clustering methods. This method is similar to K-means but more robust.For more detail, please seehttp://en.wikipedia.org/wiki/K-medoidsInput data are assumed column vectors.tryload data;label=kmedoids(X,3);scatterd(X,3);

Requirements: No special requirements

Platforms: Matlab

Keyword: Assumed, Clustering, Column, Detail, Input, Label Dkmedoidsx, Robust, Scatterdx, Vectors

Users rating: 0/10

License: Shareware

Size: 20.48 KB

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