Isbn: 9786202016902 - a proposed new algorithm for analysis of hierarchical clustering (5 resultados)

Paperback. Condición: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.

Taschenbuch. Condición: Neu. A Proposed New Algorithm for analysis of Hierarchical Clustering | Saravanan Devaraj | Taschenbuch | 52 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202016902 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recently many applications have been created for categorizing, indexing and retrieving the digital video contents. These applications are used to handle a large quantity of video contents. Due to the restricted man-power, it is much required to develop retrieval methods that automatically extract features from videos and makes use of it. It is a good deal expected to build up the retrieval methods that use the features automatically extracted from videos. These features are nothing but the representation of physical contents such as motion, edge, color etc. The retrieval methods need information of how to integrate/use features for retrieving the exact videos according to the user query.This book further discusses about the basics of indexing, clustering and data mining in the video database. 52 pp. Englisch.…

Condición: 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 department of Operations & IT, IFHE University,Hyderabad. His areas of interest are image processing, data mining, DBMS, Business Analytics, Environmenta.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Recently many applications have been created for categorizing, indexing and retrieving the digital video contents. These applications are used to handle a large quantity of video contents. Due to the restricted man-power, it is much required to develop retrieval methods that automatically extract features from videos and makes use of it. It is a good deal expected to build up the retrieval methods that use the features automatically extracted from videos. These features are nothing but the representation of physical contents such as motion, edge, color etc. The retrieval methods need information of how to integrate/use features for retrieving the exact videos according to the user query.This book further discusses about the basics of indexing, clustering and data mining in the video database.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…