@techreport{0409c45b603b4daea2e0893a0cb0737d,
title = "An examination of indexes for determining the number of clusters in binary data sets",
abstract = "An examination of 14 indexes for determining the number of clusters is conducted on artificial binary data sets being generated according to various design factors. To provide a variety of clustering solutions the data sets are analyzed by different non hierarchical clustering methods. The purpose of the paper is to present the performance and the ability of an index to detect the proper number of clusters in a binary data set under various conditions and different difficulty levels. (author's abstract)",
author = "Andreas Weingessel and Evgenia Dimitriadou and Sara Dolnicar",
year = "1999",
doi = "10.57938/0409c45b-603b-4dae-a2e0-893a0cb0737d",
language = "English",
series = "Working Papers SFB {"}Adaptive Information Systems and Modelling in Economics and Management Science{"}",
number = "29",
publisher = "SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business",
edition = "January 1999",
type = "WorkingPaper",
institution = "SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business",
}