Working Paper Alfred P. Sloan School of Management Using the K-means Clustering Method as a Density Estii-lation Procedure Using the K-means Clustering Method as a Density Estimtion Procedure
نویسنده
چکیده
A random sample of size N is divided into k clusters that minimize the within cluster sum of squares locally. This k-means clustering method can be used as a quick procedure for constructing variable-cell historgrams that have no empty cell. A histogram estimate is proposed in this paper, and is shown to be uniformly consistent in probability.
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