Beschreibung
The most popular techniques of data clustering, which is a main task of data mining and a common technique used in many fields, are the K-means and C-means algorithms. Clustering using the K-means or C-means algorithms generally is fast and produces good results. Although these algorithms have been successfully implemented in several areas, they still have a number of limitations. The main aim of this work is to develop flexible data management strategies to address some of those limitations and improve the performance of the algorithms.
Autorenporträt
Dr. Hasan Al-Jabbouli has obtained his PhD. in Data Mining and Machine Learning in 2010. He is a senior lecturer in Database Systems at the School of Information Technology Engineering, Albaath University in Syria.He is the author of several articles published in reputed journals and is a member of different international working groups.
