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Clustering of symbolic data
Hardy, Andre
(PI)
Kasoro Mulenda, Nathanael
(PI)
University of Namur
Project
:
PHD
Overview
Project Details
Description
We develop a new monothetic divisive clustering method for symbolic interval data. That method is based on an extension to symbolic data of the Hypervolumes clustering criterion
Status
Active
Effective start/end date
11/09/05
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