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K-means clustering is the process of a. reducing the number of variables to consider in data-mining. b. agglomerating observations into a series of nested groups based on a measure of similarity. c. organizing observations into distinct groups based on a measure of similarity. d. estimating the value of a continuous outcome variable

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