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Old 09-18-2012, 07:46 AM
JohnH JohnH is offline
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Join Date: Jul 2012
Posts: 43
Default Re: How Many Iterations to Pick Best K-Cluster?

Each experiment should start with a random selection of points without regard to the data set. Lloyd's algorithm is then applied to these points to discover a set of centroids. This is unsupervised learning; i.e., the training data labels are not considered. It is not intended that one should find the optimal centroids, only that one finds some set of k-means clusters.
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