A comparison of traditional segmentation methods with segmentation based upon artificial neural networks by means of conjoint data from a Monte-Carlo- simulation

  • A comparison of traditional segmentation methods with segmentation based upon artificial neural networks by means of conjoint data from a Monte-Carlo- simulation / Heribert Gierl ; Stefan Schwanenberg. - In: Classification, data analysis and data highways / Ingo Balderjahn ... (eds.). - Berlin u.a. : Springer, 1998. - S. 385-392. - (Jahrestagung der Gesellschaft für Klassifikation e.V. ; 21) (Studies in classification, data analysis, and knowledge organization)

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Metadaten
Author:Stefan SchwanenbergGND
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/25799
Type:Article
Language:English
Year of first Publication:1998
Release Date:2017/07/21
Institutes:Wirtschaftswissenschaftliche Fakultät
University Bibliography legacy data (bibliographical metadata without fulltext):University Bibliography legacy data (bibliographical metadata without fulltext)