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Cluster analysis on high dimensional data 2010 Presentation

Winkler, Roland (2010) Cluster analysis on high dimensional data 2010 Presentation. In: -. 7. Herbstkolloquium, Graduiertenkolleg "Statistische Modellbildung", 19.-20. Nov. 2010, Dortmund.

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Abstract

A data set may contain of one or more 'clouds' of data objects. The task for cluster analysis is, to find the location of these clouds and to provide a partitioning of the data objects. Many algorithms are available and often very successful as long as the number of attributes (dimensions) is reasonably low. In high dimensions however, many clustering algorithms do not provide meaningful results any more. In this talk, I will give an overview on the challenges and principle problems of high dimensional data in clustering. The Statistics Department, TU Dortmund provided an artificial example data set that is connected to the BaBar experiment of the Stanford Linear Accelerator. This data set is used as an example to show the problems of high dimensional data sets.

Document Type:Conference or Workshop Item (Speech)
Title:Cluster analysis on high dimensional data 2010 Presentation
Authors:
AuthorsInstitution or Email of Authors
Winkler, Rolandroland.winkler@dlr.de
Date:20 November 2010
Journal or Publication Title:-
Refereed publication:Yes
In ISI Web of Science:No
Status:Published
Keywords:Curse of Dimensionality, Clustering, Distance Concentration
Event Title:7. Herbstkolloquium, Graduiertenkolleg "Statistische Modellbildung"
Event Location:Dortmund
Event Type:Workshop, Conference
Event Dates:19.-20. Nov. 2010
Organizer:TU Dortmund
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 > Air traffic systems
Deposited By: Roland Winkler
Deposited On:07 Dec 2010 10:08
Last Modified:12 Dec 2013 21:06

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