The k- Means clustering algorithm is an old algorithm that has been intensely researched owing to itseaseand simplicity of implementation. Clustering algorithm has a broad attraction and usefulness inexploratory data analysis. This paper presents results of the experimental study of different approaches tok- Means clustering, thereby comparing results on different datasets using Original k-Means and othermodified algorithms implemented using MATLAB R2009b. The results are calculated on some performancemeasures such as no. of iterations, no. of points misclassified, accuracy, Silhouette validity index andexecution tim
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