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A simple linear time (1 + ε)-approximation algorithm for k-means clustering in any dimensions
A. Kumar, Y. Sabharwal,
Published in
2004
Pages: 454 - 462
Abstract
We present the first linear time (1 + ε)-approximation algorithm for the k-means problem for fixed k and ε. Our algorithm runs in O(nd) time, which is linear in the size of the input. Another feature of our algorithm is its simplicity - the only technique involved is random sampling. © 2004 IEEE.
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