clustering needs to segregate members of various clusters contributing to various models of solving, i.e. fixed locations, oscillating locations and moving locations
In the latter two cases, one may take advantage of the fact that the label assignments of individual segments may repeat themselves (for example, if a person speaks at several separate occasions during a conference) by attempting to cluster the segments according to their distinguishing properties (such as the spectral content of each speaker's voice).
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DataDetective does this by offering a broad spectrum of data analysis techniques, such as associative memory prediction, clustering, decision trees, fuzzy matching, but also basic statistics, graphs and geographical visualization.