New dissimilarities measures for agglomerative hierarchical clustering

Project: PHD

Project Details


This Phd try to develop new dissimilarities measures for hierarchical
agglomerative clustering. These new dissimilarities measures are based
on non parametric density estimations and
empirical distributions. The development of these new methods is
complementary and dual to clustering trees methods explained in J.-Y.
Pirçon's Phd (2004).
Effective start/end date1/09/0431/08/08


  • empirical distribution
  • dissimilarity
  • density estimation
  • Hierarchical agglomerative clustering


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