Witold Pedrycz 
Knowledge-Based Clustering 
From Data to Information Granules

* A comprehensive coverage of emerging and current technology
dealing with heterogeneous sources of information, including data,
design hints, reinforcement signals from external datasets, and
related topics

* Covers all necessary prerequisites, and if necessary, additional
explanations of more advanced topics, to make abstract concepts
more tangible

* Includes illustrative material andwell-known experimentsto
offer hands-on experience

Over de auteur

WITOLD PEDRYCZ, PHD, is a Professor and Canada Research Chair at the University of Alberta, Canada. He is also with the Systems Research Institute of The Polish Academy of Sciences, Warsaw, Poland. Dr. Pedrycz is a Fellow of the IEEE, has authored nine research monographs, edited six volumes, and has written numerous papers in computational intelligence, granular computing, pattern recognition, quantitative software engineering, and data mining.