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).2 Data Set and Data Normalization In one of the six FDA-sponsored clinical trials examining the Thoracic Excluder or TAG ... D can be calculated at 1-mm increments along the median luminal centerline computed based on CT angiographyanbsp;...
|Title||:||German-Japanese Interchange of Data Analysis Results|
|Author||:||Wolfgang Gaul, Andreas Geyer-Schulz, Yasumasa Baba, Akinori Okada|
|Publisher||:||Springer Science & Business Media - 2013-11-05|