The clustering problem has been addressed in many contexts and by
researchers in many disciplines. This reflects its broad appeal and
usefulness as one of the steps in exploratory data analysis.
Clustering is a challenging field of research in which its
potential applications pose their own special requirements.
However, clustering is a difficult problem combinatorially, and
differences in assumptions and contexts in different communities
have made the transfer of useful generic concepts and methodologies
slow to occur. This book, therefore, provides a new methods for
clustering complex data sets and improve performance of some
algorithms that illustrated in the literature. Experimental results
are shown in this book to demonstrate the effectiveness of the
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