Advances in data analysis proceedings of the 30th Annual Conference of The Gesellschaft fur Klassifikation e.V., Freie Universitat Berlin, March 8-10, 2006

Focuses on exploraory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. This work covers a range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It also gives appro...

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Detalles Bibliográficos
Autor principal: Gesellschaft fur Klassifikation.
Autor Corporativo: Gesellschaft fur Klassifikation. Jahrestagung (-)
Otros Autores: Decker, Reinhold, 1960- (-), Lenz, Hans-Joachim
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berlin ; New York : Springer 2007.
Edición:1st ed. 2007.
Colección:Studies in classification, data analysis, and knowledge organization ; X-8047-0100-6.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009460967106719
Descripción
Sumario:Focuses on exploraory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. This work covers a range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It also gives approaches for information retrieval and data mining.
Notas:Description based upon print version of record.
Descripción Física:1 online resource (688 p.)
Bibliografía:Includes bibliographical references and index.
ISBN:9781280817779
9786610817771
9783540709817