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omochist 2009/04/10
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omochist 2009/01/15
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k-means++: The Advantages of Careful Seeding David Arthur âˆ— Sergei Vassilvitskiiâ€ Abstract The k-means method is a widely used clustering technique that seeks to minimize the average squared distance between points in the same cluster. Although it oï¬€ers no accuracy guarantees, its simplicity and speed are very appealing in practice. By augmenting k-means with a very simple, ran- domized seeding t
omochist 2009/01/14
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