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Determining the number of clusters in a Data set: k-means clustering, k-medoids, Expectation-maximization algorithm, OPTICS Rule thumb, Akaike information criterion

Name: Determining the number of clusters in a Data set: k-means clustering, k-medoids, Expectation-maximization algorithm, OPTICS Rule thumb, Akaike information criterion
Brand: OmniScriptum
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Price: 112.75 EUR
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Determining the number of clusters in a Data set: k-means clustering, k-medoids, Expectation-maximization algorithm, OPTICS Rule thumb, Akaike information criterion