Clustering of symbolic data

Project: PHD

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
StatusActive
Effective start/end date11/09/05 → …