By Kardi Teknomo, PhD .



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K Means Clustering: Partition

This tutorial will introduce you to the heart of Pattern Recognition, unsupervised learning of Neural network called k-means clutering. When User click picture box to input new data (X,Y), the program will make group/cluster the data by minimizing the sum of squares of distances between data and the corresponding cluster centroids. Different color code represent the clusters. This algorithm is a standard and popular algorithm for unsupervised learning of Neural network, Pattern recognitions, Classification analysis, clustering analysis etc.

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