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To save memory about the machine to which you deploy produced code, you are able to different instruction and prediction through the use of kmeans and pdist2, respectively. Use kmeans to develop clusters in MATLAB and use pdist2 during the produced code to assign new data to current clusters.

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Complete a preliminary clustering phase on a random ten% subsample of X when the quantity of observations inside the subsample is greater than k. This preliminary period is itself initialized applying 'sample'.

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