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| Cluster Map Example
Clustering is a common descriptive technique for representing the emergent actions of a finite set of categories. Whereas interpretation works with constants, the comparison between systems introduces variables. This form of representation responds well to local variations enabling informative visualization of specific associations of data without concern for probabilistic and causal quantification.
Macintosh and Windows cluster maps are updated daily.
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