Hard and Soft Euclidean Consensus Partitions

Kurt Hornik; Walter Böhm

Hard and Soft Euclidean Consensus Partitions

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

Original language	English
Title of host publication	Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization
Editors	Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker
Place of Publication	Albert-Ludwigs-Universität Freiburg
Publisher	Springer
Pages	147 - 154
Publication status	Published - 1 Aug 2008

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Hornik, K., & Böhm, W. (2008). Hard and Soft Euclidean Consensus Partitions. In Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker (Ed.), Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization (pp. 147 - 154). Springer.

Hornik, Kurt ; Böhm, Walter. / Hard and Soft Euclidean Consensus Partitions. Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization. editor / Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker. Albert-Ludwigs-Universität Freiburg : Springer, 2008. pp. 147 - 154

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Hornik, K & Böhm, W 2008, Hard and Soft Euclidean Consensus Partitions. in Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker (ed.), Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization. Springer, Albert-Ludwigs-Universität Freiburg, pp. 147 - 154.

Hard and Soft Euclidean Consensus Partitions. / Hornik, Kurt; Böhm, Walter.
Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization. ed. / Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker. Albert-Ludwigs-Universität Freiburg: Springer, 2008. p. 147 - 154.

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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AU - Böhm, Walter

PY - 2008/8/1

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EP - 154

BT - Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization

A2 - Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker, null

PB - Springer

CY - Albert-Ludwigs-Universität Freiburg

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Hornik K, Böhm W. Hard and Soft Euclidean Consensus Partitions. In Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker, editor, Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization. Albert-Ludwigs-Universität Freiburg: Springer. 2008. p. 147 - 154