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

Buchta, Christian and Dolnicar, Sara and Köck, Robert and Skriner, Edith (2000) A note on topological concepts for complexity reduction of binary survey data. Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science", 62. SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, Vienna.

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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)

Item Type: Paper
Keywords: Verbraucherforschung / Binärdaten / Komplexitätsklasse
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Produktionsmanagement > Taudes
Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Departments > Marketing > Service Marketing und Tourismus
Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft
Depositing User: Repository Administrator
Date Deposited: 23 Jan 2002 14:33
Last Modified: 22 Oct 2019 00:41
URI: https://epub.wu.ac.at/id/eprint/1426

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