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Title: Some thoughts on simulation studies to compare clustering methods Authors:  Christian Hennig - UCL (United Kingdom) [presenting]
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. A number of aspects of designing and running such studies will be discussed, 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. Some aspects will be relevant also for the design of simulation studies in wider areas of statistics. The material was partly developed in collaboration with the IFCS cluster benchmarking task force.