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Kirk Borne's Blog – May 2014 Archive (1)

Learning from Data, Big and Small, using Characterizations

In a previous article, we defined data charaterization as a “methodology for generating descriptive parameters that describe the behavior and characteristics of a data item, for use in any unsupervised learning algorithm to find features, clusters, patterns, and trends in the data without the bias of incorporating class…

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Added by Kirk Borne on May 31, 2014 at 11:30am — No Comments

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