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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783844395747
Anzahl: 2 verfügbar
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. 104. Bestandsnummer des Verkäufers 26128858356
Anzahl: 4 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Print on Demand pp. 104 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Bestandsnummer des Verkäufers 131696427
Anzahl: 4 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: 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. Bestandsnummer des Verkäufers 5477047
Anzahl: Mehr als 20 verfügbar
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND pp. 104. Bestandsnummer des Verkäufers 18128858366
Anzahl: 4 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783844395747
Anzahl: 1 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783844395747
Anzahl: 1 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 107012833
Anzahl: 5 verfügbar
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
paperback. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Bestandsnummer des Verkäufers ERICA80038443957416
Anzahl: 1 verfügbar