Synopsis
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 proposed algorithms.
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About the Author
Shadi Abudalfa received the BSc and MSc Degrees both in Computer Engineering from the Islamic University of Gaza (IUG), Palestine in 2003 and 2010 respectively. He is a lecturer at the University Collage of Applied Sciences, Palestine. From July 2003 to August 2004, he worked as a research assistant at Projects and Research Lab in IUG.
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Metaheuristic Clustering Algorithm
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 proposed algorithms. 104 pp. Englisch. Seller Inventory # 9783844395747
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Metaheuristic Clustering Algorithm
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abudalfa ShadiShadi Abudalfa received the BSc and MSc Degrees both in Computer Engineering from the Islamic University of Gaza (IUG), Palestine in 2003 and 2010 respectively. He is a lecturer at the University Collage of Applied S. Seller Inventory # 5477047
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 proposed algorithms.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Seller Inventory # 9783844395747
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Metaheuristic Clustering Algorithm : Recent Advances in Data Clustering
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Metaheuristic Clustering Algorithm | Recent Advances in Data Clustering
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Taschenbuch. Condition: Neu. Metaheuristic Clustering Algorithm | Recent Advances in Data Clustering | Shadi Abudalfa | Taschenbuch | 104 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844395747 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 107012833
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