A note on topological concepts for complexity reduction of binary survey data

Christian Buchta, Sara Dolnicar, Robert Köck, Edith Skriner

Publikation: Working/Discussion PaperWU Working Paper

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Abstract

Recently in Steiner 1999 the use of topological concepts was suggested for deciding on the level of complexity reduction of continuous data sets by quantisations. Level of complexity is synonymous with the number of classes or class representing means (centroids) of a data partition. In this paper a simulation study of the applicability of this concept to binary data is presented which is comparable with the results in Weingessel et al. 1999. The class of quantisation methods used contains traditional k-means and three robust approaches to partitioning, as suggested in Pötzelberger and Strasser 1997. (author's abstract)

Publikationsreihe

ReiheWorking Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Nummer62

WU Working Paper Reihe

  • Working Papers SFB \Adaptive Information Systems and Modelling in Economics and Management Science\

Zitat