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Multi-attribute clustering and dimensionality reduction is achieved through a generalization of the k-mean algorithm. Entropy analysis is utilized to reduce dimensionality and to find initial conditions or starting points for the extended k-mean algorithm. We start with the deciding criteria attribute, and based on comparison and selection of the(More)
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