Maximin Initialization for Cluster Analysis

  • Richard J. Hathaway
  • James C. Bezdek
  • Jacalyn M. Huband
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4225)


Most iterative clustering algorithms require a good initialization to achieve accurate results. A new initialization procedure for all such algorithms is given that is exact when the data contain compact, separated clusters. Our examples use c-means clustering.


Object Data Distinguished Object True Label Search Array Good Initialization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Richard J. Hathaway
    • 1
  • James C. Bezdek
    • 2
  • Jacalyn M. Huband
    • 2
  1. 1.Department of Mathematical SciencesGeorgia Southern UniversityStatesboroUSA
  2. 2.Computer Science DepartmentUniversity of West FloridaPensacolaUSA

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