Nine popular clustering methods are applied to 42 real data sets. The aim is give a detailed characterisation of the by means several cluster validation indexes that measure various individual aspects resulting clusters such as small within-cluster distances, separation clusters, closeness Gaussian distribution etc. introduced in Hennig (in: Data analysis and applications 1: regression, modelin...

The growing penetration of electric vehicles can pose several challenges for power systems, especially distribution due to the introduction significant uncertain load. Analysis these becomes computationally expensive with higher various preferences, travel behavior, and battery size vehicles. This problem be addressed using clustering methods which have been successfully used in many other sect...