Learning in parallel universes

Wiswedel, Bernd; Höppner, Frank; Berthold, Michael R.

Learning in parallel universes

Dateien

Learning in parallel universes-erl.pdfGröße: 10.9 MBDownloads: 873

Datum

2010

Autor:innen

Wiswedel, Bernd

Höppner, Frank

Berthold, Michael R.

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

Data Mining and Knowledge Discovery. 2010, 21(1), pp. 130-152. ISSN 1384-5810. eISSN 1573-756X. Available under: doi: 10.1007/s10618-010-0170-1

Zusammenfassung

We discuss Learning in parallel universes as a learning concept that encompasses the simultaneous analysis from multiple descriptor spaces. In contrast to existing approaches, this approach constructs a global model that is based on only partially applicable, local models in each descriptor space. We present some application scenarios and compare this learning strategy to other approaches on learning in multiple descriptor spaces. As a representative for learning in parallel universes we introduce different extensions to a family of unsupervised fuzzy clustering algorithms and evaluate their performance on an artificial data set and a benchmark of 3D objects.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Parallel universes, Descriptor space, Clustering

Zitieren

ISO 690

WISWEDEL, Bernd, Frank HÖPPNER, Michael R. BERTHOLD, 2010. Learning in parallel universes. In: Data Mining and Knowledge Discovery. 2010, 21(1), pp. 130-152. ISSN 1384-5810. eISSN 1573-756X. Available under: doi: 10.1007/s10618-010-0170-1

BibTex

@article{Wiswedel2010Learn-12634,
  year={2010},
  doi={10.1007/s10618-010-0170-1},
  title={Learning in parallel universes},
  number={1},
  volume={21},
  issn={1384-5810},
  journal={Data Mining and Knowledge Discovery},
  pages={130--152},
  author={Wiswedel, Bernd and Höppner, Frank and Berthold, Michael R.}
}

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Universitätsbibliographie

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