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URN: urn:nbn:de:0030-drops-11347
URL: http://drops.dagstuhl.de/opus/volltexte/2007/1134/

Strickert, Marc ; Seiffert, Udo

Correlation-based Data Representation

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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}
}

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


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