Normalized k-means clustering of hyper-rectangles
Language
en
Communication dans un congrès
This item was published in
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. -
English Abstract
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 ...Read more >
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.Read less <
Italian Keywords
Interval data
Standardization
Normalized Hausdorff distance
Clus- tering
Origin
Hal imported