An artificial data set and an empirical data set were analyzed using two different methodological approaches, one more explorative (using LICUR, a cluster analysis-based procedure) and one more model-based (using the MCLUST procedure).  For the artificial data set, the LICUR procedure was successful in finding the true classification structure but the MCLUST procedure performed surprisingly badly.  However, the LICUR solution appeared to be slightly superior. 
LICUR
An artificial data set and an empirical data set were analyzed using two different methodological approaches, one more explorative (using LICUR, a cluster analysis-based procedure) and one more model-based (using the MCLUST procedure).  For the artificial data set, the LICUR procedure was successful in finding the true classification structure but the MCLUST procedure performed surprisingly badly. 
MCLUST