New density based sampling clustering von ros frederic (6 Ergebnisse)

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

Taschenbuch. Zustand: Neu. A new density-based sampling for clustering algorithm | Frederic Ros (u. a.) | Taschenbuch | 52 S. | Englisch | 2016 | Scholars' Press | EAN 9783659841354 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As clustering algorithms become more and more sophisticated to cope with current needs, large data sets of increasing complexity, sampling is likely to provide an interesting alternative. The main objective of sampling is to select a part that behaves like the whole. DENDIS is a new algorithm that combines the best of the available techniques in such a way that tractability is actually improved with a user friendly parameter setting. 52 pp. Englisch.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ros FredericFrederic Ros began his career in 1991 as a research scientist working on the field of image analysis. He managed the vision activity in GEMALTO during 14 years which is the world leader in the smart card industry. He has .…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As clustering algorithms become more and more sophisticated to cope with current needs, large data sets of increasing complexity, sampling is likely to provide an interesting alternative. The main objective of sampling is to select a part that behaves like the whole. DENDIS is a new algorithm that combines the best of the available techniques in such a way that tractability is actually improved with a user friendly parameter setting.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As clustering algorithms become more and more sophisticated to cope with current needs, large data sets of increasing complexity, sampling is likely to provide an interesting alternative. The main objective of sampling is to select a part that behaves like the whole. DENDIS is a new algorithm that combines the best of the available techniques in such a way that tractability is actually improved with a user friendly parameter setting.…