Video clustering is one of the important task in video data mining. We discuss about the different video clustering techniques using hierarchical clustering algorithms like CURE, BIRCH, CHAMLEON. Set of video frames are clustered using the hierarchical clustering algorithms. As a result of comparison of results all the hierarchical algorithms offer good performance for some set of video files only. That is each clustering algorithm shows best clustering on particular video files only. It fails to forms best clusters of all type of video files. Hence we propose a hierarchical clustering algorithm that offers best clustering performance for all type of video files at any circumstances
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D.Saravanan, currently working as Associate professor in the dept of operations&IT in IFHE University. His area of interest are image processing, data mining , Distributed computing.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Video clustering is one of the important task in video data mining. We discuss about the different video clustering techniques using hierarchical clustering algorithms like CURE, BIRCH, CHAMLEON. Set of video frames are clustered using the hierarchical clustering algorithms. As a result of comparison of results all the hierarchical algorithms offer good performance for some set of video files only. That is each clustering algorithm shows best clustering on particular video files only. It fails to forms best clusters of all type of video files. Hence we propose a hierarchical clustering algorithm that offers best clustering performance for all type of video files at any circumstances 52 pp. Englisch. Bestandsnummer des Verkäufers 9783330033948
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Devaraj SaravananD.Saravanan, currently working as Associate professor in the dept of operations&IT in IFHE University. His area of interest are image processing, data mining , Distributed computing.Video clustering is one of the. Bestandsnummer des Verkäufers 158421941
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Video clustering is one of the important task in video data mining. We discuss about the different video clustering techniques using hierarchical clustering algorithms like CURE, BIRCH, CHAMLEON. Set of video frames are clustered using the hierarchical clustering algorithms. As a result of comparison of results all the hierarchical algorithms offer good performance for some set of video files only. That is each clustering algorithm shows best clustering on particular video files only. It fails to forms best clusters of all type of video files. Hence we propose a hierarchical clustering algorithm that offers best clustering performance for all type of video files at any circumstancesVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Bestandsnummer des Verkäufers 9783330033948
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Video clustering is one of the important task in video data mining. We discuss about the different video clustering techniques using hierarchical clustering algorithms like CURE, BIRCH, CHAMLEON. Set of video frames are clustered using the hierarchical clustering algorithms. As a result of comparison of results all the hierarchical algorithms offer good performance for some set of video files only. That is each clustering algorithm shows best clustering on particular video files only. It fails to forms best clusters of all type of video files. Hence we propose a hierarchical clustering algorithm that offers best clustering performance for all type of video files at any circumstances. Bestandsnummer des Verkäufers 9783330033948
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Taschenbuch. Zustand: Neu. A Proposed New Algorithm for analysis of Hierarchical Clustering | Saravanan Devaraj | Taschenbuch | 52 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330033948 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 108383500
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