Please use this identifier to cite or link to this item: http://hdl.handle.net/1880/46139
Title: A FAST K-MEANS TYPE CLUSTERING ALGORITHM
Authors: Wu, Xiaolin
Witten, Ian H.
Keywords: Computer Science
Issue Date: 1-Jun-1985
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.
URI: http://hdl.handle.net/1880/46139
Appears in Collections:Witten, Ian

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