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Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy

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  • Jukka Corander

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  • Mats Gyllenberg
  • Timo Koski

Abstract

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  • Jukka Corander & Mats Gyllenberg & Timo Koski, 2009. "Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 3(1), pages 3-24, June.
  • Handle: RePEc:spr:advdac:v:3:y:2009:i:1:p:3-24
    DOI: 10.1007/s11634-009-0036-9
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    File URL: http://hdl.handle.net/10.1007/s11634-009-0036-9
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    References listed on IDEAS

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    1. Bock, Hans H., 1996. "Probabilistic models in cluster analysis," Computational Statistics & Data Analysis, Elsevier, vol. 23(1), pages 5-28, November.
    2. Gyllenberg, Mats & Koski, Timo & Verlaan, Martin, 1997. "Classification of Binary Vectors by Stochastic Complexity," Journal of Multivariate Analysis, Elsevier, vol. 63(1), pages 47-72, October.
    3. Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 193-218, December.
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