K-means

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“One of the two main algorithms to identify clusters in data. Expectation maximization is the other. The algorithm begins with a target of identify K-clusters. The goal is to find the best way to split the data to assign each point to a single cluster. In raw form, the process compares each point to the K clusters computing the distance to minimize the variance within each cluster. It can be a slow algorithm for large data sets.”

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By |February 1st, 2019|Comments Off on K-means