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Results tagged with k-means
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user 121154
k-means is a method to partition data into clusters by finding a specified number of means, k, s.t. when data are assigned to clusters w/ the nearest mean, the w/i cluster sum of squares is minimized
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Within the context of a document term matrix, what exactly are x and y axis in kmeans cluste...
The article did not cluster on the DTM, but on the distance matrix as returned by dist. The function dist computes the euclidean distance between vectors, and kmeans uses this measure to cluster on. T …
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