File:K-means versus k-medoids.png
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English: Figs 1a-1f presents a typical example of the k-means convergence to a local minimum. This result of k-means clustering contradicts the obvious cluster structure of data set. In this example, k-medoids algorithm (2a-2h) with the same initial position of medoids (Fig. 2a) converges to the obvious cluster structure. The small circles are data points, the four ray stars are centroids (means), the nine ray stars are medoids. The illustration was prepared with the Java applet, E.M. Mirkes, K-means and K-medoids: applet. University of Leicester, 2011. This applet is published under CC Attribution 3.0 unported license. |
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| Source | Own work |
| Author | Agor153 |
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| current | 11:44, 12 May 2012 | | 2,976 × 1,161 (108 KB) | Agor153 (talk | contribs) |
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