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Combination of Distances and Image Features for Clustering Image Data Bases

Title data

Frost, Sarah ; Baier, Daniel:
Combination of Distances and Image Features for Clustering Image Data Bases.
In: Lausen, Berthold ; Krolak-Schwerdt, Sabine ; Böhmer, Matthias (ed.): Data Science, Learning by Latent Structures, and Knowledge Discovery. - Berlin ; Heidelberg : Springer , 2015 . - pp. 251-260 . - (Studies in Classification, Data Analysis, and Knowledge Organization )
ISBN 978-3-662-44982-0
DOI: https://doi.org/10.1007/978-3-662-44983-7_22

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XIV - Marketing and Innovation > Chair Business Administration XIV - Marketing and Innovation - Univ.-Prof. Dr. Daniel Baier
Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XIV - Marketing and Innovation
Result of work at the UBT: Yes
DDC Subjects: 300 Social sciences > 330 Economics
Date Deposited: 17 Sep 2015 05:58
Last Modified: 17 Sep 2015 05:58
URI: https://eref.uni-bayreuth.de/id/eprint/19434