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K-means clustering algorithm using the entropy

Palubinskas, Gintautas (1998) K-means clustering algorithm using the entropy. In: Proc. SPIE, Image and Signal Processing for Remote Sensing IV, 3500, pp. 63-71. The International Society for Optical Engineering. EUROPTO, Barcelona, Spain, September 21-24, 1998.

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Item URL in elib:https://elib.dlr.de/101/
Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=1999,
Title:K-means clustering algorithm using the entropy
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Palubinskas, GintautasUNSPECIFIEDUNSPECIFIED
Date:1998
Journal or Publication Title:Proc. SPIE, Image and Signal Processing for Remote Sensing IV
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:3500
Page Range:pp. 63-71
Publisher:The International Society for Optical Engineering
Status:Published
Keywords:clustering, K-means, ISODATA, entropy, Bayesian inference, magnetic resonance imaging, remote sensing
Event Title:EUROPTO, Barcelona, Spain, September 21-24, 1998
Organizer:SPIE
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Giegerich, Susan
Deposited On:16 Sep 2005
Last Modified:06 Jan 2010 11:52

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