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|Title:||A FAST K-MEANS TYPE CLUSTERING ALGORITHM|
Witten, Ian H.
|Abstract:||This paper describes a new $k$-means type clustering algorithm which gives excellent results for a moderate computational cost. It is particularly suitable for partitioning large data sets into a number of clusters where the conventional $k$-means algorithm becomes computationally unmanageable. While it does not guarantee to reach a global optimum, its performance in practice is very good indeed, as demonstrated by theoretical analysis and experiments on color image data.|
|Appears in Collections:||Witten, Ian|
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