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Conference Papers Year : 2005

Normalized k-means clustering of hyper-rectangles

Marie Chavent

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 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.
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Dates and versions

hal-00278293 , version 1 (10-05-2008)

Identifiers

  • HAL Id : hal-00278293 , version 1

Cite

Marie Chavent. Normalized k-means clustering of hyper-rectangles. ASMDA 2005, May 2005, Brest, France. ⟨hal-00278293⟩

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