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Machine learning

This research area is concerned with the development of tools for supervised and unsupervised machine learning algorithms and their application to knowledge-based systems, data mining and knowledge discovery. The main areas of work are unsupervised clustering algorithms, semi-supervised clustering algorithtms and methodologies for clustering combination.

The different techniques and algorithms have been applied to different domains such as Biology, Medical Sciences and Engineering. Some of the applications include:

Participants: Dr. J. Béjar (UPC),  Dr. M. Sànchez-Marrè (UPC), Dra. K. Gibert (UPC)