Implement k-means algorithm. Inputs: 1. List of n lists, of some general length d. Each represents a point in a d-dimensional space. 2. k: number of clusters No use of any ml-libraries of course.
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What is the rate at which doctors in a given dataset perform a set of procedures under specific conditions.
GO's are typically viewed as the safest of bonds, do you feel that there is such a thing as a full proof bond?
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