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Model-Based Clustering for Image Segmentation and Large Datasets via Sampling

Author

Listed:
  • Ron Wehrens
  • Lutgarde M.C. Buydens
  • Chris Fraley
  • Adrian E. Raftery

Abstract

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Suggested Citation

  • Ron Wehrens & Lutgarde M.C. Buydens & Chris Fraley & Adrian E. Raftery, 2004. "Model-Based Clustering for Image Segmentation and Large Datasets via Sampling," Journal of Classification, Springer;The Classification Society, vol. 21(2), pages 231-253, September.
    • Handle: RePEc:spr:jclass:v:21:y:2004:i:2:p:231-253
    DOI: 10.1007/s00357-004-0018-8
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    Citations

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    Cited by:

    1. Siow Hoo Leong & Seng Huat Ong, 2017. "Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-30, July.
    2. Warren C Jochem & Douglas R Leasure & Oliver Pannell & Heather R Chamberlain & Patricia Jones & Andrew J Tatem, 2021. "Classifying settlement types from multi-scale spatial patterns of building footprints," Environment and Planning B, , vol. 48(5), pages 1161-1179, June.
    3. Yuhong Wei & Paul McNicholas, 2015. "Mixture model averaging for clustering," 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. 9(2), pages 197-217, June.
    4. repec:jss:jstsof:18:i06 is not listed on IDEAS
    5. Fraley, Chris & Raftery, Adrian, 2007. "Model-based Methods of Classification: Using the mclust Software in Chemometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 18(i06).

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