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Single Cluster Visualization to Optimize Air Traffic Management

Rehm, Frank and Klawonn, Frank and Kruse, Rudolf (2006) Single Cluster Visualization to Optimize Air Traffic Management. In: GfKl 2006. GfKl 2006, 2006-03-08 - 2006-03-10, Berlin.

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Abstract

In this paper we present a visualization technique to visualize single clusters of high-dimensional data. Our method maps a single cluster to the plane trying to preserve the relative distances of feature vectors to the corresponding prototype vector. Thus, fuzzy clustering results representing relative distances in the form of a partition matrix as well as hard clustering partitions can be visualized with this technique. The resulting two-dimensional scatter plot illustrates the compactness of a certain cluster and the need of additional prototypes as well. In this work, we will demonstrate the visualization method on some benchmark data sets and on a practical application.

Document Type:Conference or Workshop Item (Paper)
Title:Single Cluster Visualization to Optimize Air Traffic Management
Authors:
AuthorsInstitution or Email of Authors
Rehm, FrankUNSPECIFIED
Klawonn, FrankUniversity of Applied Sciences Braunschweig/Wolfenbuettel
Kruse, RudolfOtto-von-Guericke-University of Magdeburg
Date:2006
Journal or Publication Title:GfKl 2006
Refereed publication:Yes
In ISI Web of Science:Yes
Status:Published
Keywords:Clustering, Visualization, Cluster Validity
Event Title:GfKl 2006
Event Location:Berlin
Event Type:international Conference
Event Dates:2006-03-08 - 2006-03-10
Organizer:German Classification Society (GfKl)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:ATM and Operation
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Effiziente Flugführung und Flugbetrieb (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Control
Deposited By: Dr.-Ing. Frank Rehm
Deposited On:03 Aug 2007
Last Modified:18 Feb 2014 16:03

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