2024/01/18 by Weingessel, Andreas, Dimitriadou, Evgenia, Dolnicar, Sara
paper · doi:10.57938/0409c45b-603b-4dae-a2e0-893a0cb0737d
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)