MACLAW: A modular approach for clustering with local attribute weighting

Author:

Blansché A.,Gançarski P.,Korczak J.J.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference21 articles.

1. Blake, C., Merz, C., 1998. UCI repository of machine learning databases. URL: .

2. Blansché, A., Gançarski, P., 2004. Application aux images hyperspectrales d’une nouvelle méthode de sélection d’attributs pour la classification d’objets complexes. In: Proc. of Workshop “Fouille de Données Complexes dans un processus d’extraction de connaissances” in EGC’04, Clermont-Ferrand, France, pp. 103–114.

3. Cluster validation techniques for genome expression data;Bolshakova;Signal Process.,2003

4. An optimization algorithm for clustering using weighted dissimilarity measures;Chan;Pattern Recognition,2004

5. Dash, M., Liu, H., 2000. Feature selection for clustering. In: Proc. Pacific–Asia Conf. on Knowledge Discovery and Data Mining (PAKDD).

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