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Weighting quantitative and qualitative variables in clustering methods.

Karina GibertUlises Cortés — 1997

Mathware and Soft Computing

Description of individuals in ill-structured domains produces messy data matrices. In this context, automated classification requires the management of those kind of matrices. One of the features involved in clustering is the evaluation of distances between individuals. Then, a special function to calculate distances between individuals partially simultaneously described by qualitative and quantitative variables is required. In this paper properties and details of the metrics used by...

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