This volume focuses on innovative approaches and recent developments in clustering analysis of
data and models and applications: The first part of the book covers a broad range of
innovations in the area of clustering from algorithmic innovations for graph clustering to new
visualization and evaluation techniques. The second part addresses new developments in data and
decision analysis (conjoint analysis non-additive utility functions analysis of asymmetric
relationships and regularization techniques). The third part is devoted to the application of
innovative data analysis methods in the life-sciences the social sciences and in engineering.
All contributions in this volume are revised and extended versions of selected papers presented
in the German Japanese Workshops at Karlsruhe (2010) and Kyoto (2012).
