In many application domains data are not given in a classical vector space but occur in form of structural, sequential, relational characteristics or other non-standard formats. These data are often represented as graphs or by means of proximity matrices. Often these data sets are also huge and mathematically complicated to treat requesting for new efficient analysis algorithms which are the focus of this tutorial.