Cluster evaluation in unsupervised learning of continuous data
Abstract:
A data manager determines an appropriate number of clusters for continuous data using unsupervised learning. The data manager selects an appropriate number of clusters based on at least one temporal stability measure between continuous data from at least two time intervals.
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