Hennig, Christian - Archives of Data Science, Series A

Article Details

Title Some Thoughts on Simulation Studies to Compare Clustering Methods
Authors Hennig, Christian
Year 2018
Volume 5(1)
Abstract Simulation studies are often used to compare different clustering methods, be it with the aim of promoting a new method, or for investigating the quality of existing methods from a neutral point of view. I will go through a number of aspects of designing and running such studies, including the definition and measurement of clustering quality, the choice of models to generate data from, aggregation and visualisation of results, and also limits of what we can learn from such studies. The paper may be useful for researchers who run such simulation studies and for those interested in the results of them. Some aspects are relevant for more general simulation studies, also outside the domain of cluster analysis.