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New Approaches to Noise Clustering for Detecting Outliers

Rehm, F. and Klawonn, F. and Kruse, R. (2004) New Approaches to Noise Clustering for Detecting Outliers. Soft Computing for Information Mining, Ulm, 21.09.2004.

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Item URL in elib:https://elib.dlr.de/4152/
Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=2004,
Title:New Approaches to Noise Clustering for Detecting Outliers
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Rehm, F.UNSPECIFIEDUNSPECIFIED
Klawonn, F.UNSPECIFIEDUNSPECIFIED
Kruse, R.UNSPECIFIEDUNSPECIFIED
Date:2004
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Event Title:Soft Computing for Information Mining, Ulm, 21.09.2004
Organizer:27th German Conference on Artificial Intelligence
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Transport
HGF - Program Themes:V SM - Sicherung der Mobilität (old)
DLR - Research area:Transport
DLR - Program:V SM - Sicherung der Mobilität
DLR - Research theme (Project):V - Effizienter Flughafen (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Control
Deposited By: DLR-Beauftragter, elib
Deposited On:16 Sep 2005
Last Modified:06 Jan 2010 17:17

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