Strickert, Marc ;
Seiffert, Udo
Correlation-based Data Representation
Abstract
The Dagstuhl Seminar 'Similarity-based Clustering and its
Application to Medicine and Biology' (07131) held in March 25--30, 2007,
provided an excellent atmosphere for in-depth discussions
about the research frontier of computational methods
for relevant applications of biomedical clustering and beyond.
We address some highlighted issues about correlation-based data
analysis in this seminar postribution.
First, some prominent correlation measures are briefly revisited.
Then, a focus is put on Pearson correlation, because of its
widespread use in biomedical sciences and because of
its analytic accessibility.
A connection to Euclidean distance of z-score transformed
data outlined.
Cost function optimization of correlation-based data representation
is discussed for which, finally, applications to visualization
and clustering of gene expression data are given.
BibTeX - Entry
@InProceedings{strickert_et_al:DSP:2007:1134,
author = {Marc Strickert and Udo Seiffert},
title = {Correlation-based Data Representation},
booktitle = {Similarity-based Clustering and its Application to Medicine and Biology},
year = {2007},
editor = {Michael Biehl and Barbara Hammer and Michel Verleysen and Thomas Villmann },
number = {07131},
series = {Dagstuhl Seminar Proceedings},
ISSN = {1862-4405},
publisher = {Internationales Begegnungs- und Forschungszentrum f{\"u}r Informatik (IBFI), Schloss Dagstuhl, Germany},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2007/1134},
annote = {Keywords: Correlation, data representation, gradient-based optimization, clustering, neural gas}
}
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Keywords: |
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Correlation, data representation, gradient-based optimization, clustering, neural gas |
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Seminar: |
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07131 - Similarity-based Clustering and its Application to Medicine and Biology
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Documenttype: |
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InProceedings |
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Issue date: |
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2007 |
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Date of publication: |
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12.09.2007 |
