License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.07131.4
URN: urn:nbn:de:0030-drops-11347
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2007/1134/
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Strickert, Marc ; Seiffert, Udo

Correlation-based Data Representation

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07131.StrickertMarc.Paper.1134.pdf (0.6 MB)

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:DagSemProc.07131.4,
  author =	{Strickert, Marc and Seiffert, Udo},
  title =	{{Correlation-based Data Representation}},
  booktitle =	{Similarity-based Clustering and its Application to Medicine and Biology},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7131},
  editor =	{Michael Biehl and Barbara Hammer and Michel Verleysen and Thomas Villmann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2007/1134},
  URN =		{urn:nbn:de:0030-drops-11347},
  doi =		{10.4230/DagSemProc.07131.4},
  annote =	{Keywords: Correlation, data representation, gradient-based optimization, clustering, neural gas}
}

Keywords: Correlation, data representation, gradient-based optimization, clustering, neural gas
Collection: 07131 - Similarity-based Clustering and its Application to Medicine and Biology
Issue Date: 2007
Date of publication: 12.09.2007

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