Normalized k-means clustering of hyper-rectangles
Langue
en
Communication dans un congrès
Ce document a été publié dans
Proceedings of the XIth International Symposium of Applied Stochastic Models and Data Analysis, Proceedings of the XIth International Symposium of Applied Stochastic Models and Data Analysis, ASMDA 2005, 2005-05, Brest. 2005-05p. -
Résumé en anglais
Interval variables can be measured on very different scales. We first remind a general methodology used for measuring the dispersion of a variable from an optimal center and we define two measures of dispersions associated ...Lire la suite >
Interval variables can be measured on very different scales. We first remind a general methodology used for measuring the dispersion of a variable from an optimal center and we define two measures of dispersions associated to two optimal "centers" for interval variables. Then we study the relations between the standardization of a data table and the use in clustering of a normalized distance. Finally we define two normalized distances between hyper-rectangles and their use in two normalized k-means clustering algorithms.< Réduire
Mots clés en italien
Interval data
Standardization
Normalized Hausdorff distance
Clus- tering
Origine
Importé de halUnités de recherche