@techreport{0eb3cb61682e4f359833e811d326bf5c,
title = "A note on topological concepts for complexity reduction of binary survey data",
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 P{\"o}tzelberger and Strasser 1997. (author's abstract)",
author = "Christian Buchta and Sara Dolnicar and Robert K{\"o}ck and Edith Skriner",
year = "2000",
doi = "10.57938/0eb3cb61-682e-4f35-9833-e811d326bf5c",
language = "English",
series = "Working Papers SFB {"}Adaptive Information Systems and Modelling in Economics and Management Science{"}",
number = "62",
publisher = "SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business",
edition = "January 2000",
type = "WorkingPaper",
institution = "SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business",
}