Cooperation in Classification and Data Analysis Proceedings of Two German-Japanese Workshops

Classification and Visualization.- Analyzing Symbolic Data.- Constraining Shape and Size in Clustering.- Dissolution and Isolation Robustness of Fixed Point Clusters.- ADCLUS.- Density-Based Multidimensional Scaling.- Classification of Binary Data Using a Spherical Distribution.- Fuzzy Clustering Based Regression with Attribute Weights.- Polynomial Regression on a Dependent Variable with Immeasurable Observations.- Methods in Fields.- Feedback Options for a Personal News Recommendation Tool.- Classification in Marketing Science.- Deriving a Statistical Model for the Prediction of Spiralling in BTA Deep-Hole-Drilling from a Physical Model.- Analyzing Protein#x2013;Protein Interaction with Variant Analysis.- Estimation for the Parameters in Geostatistics.- Identifying Patients at Risk.- Sequential Multiple Comparison Procedure for Finding a Changing Point in Dose Finding Test.- Semi-supervised Clustering of Yeast Gene Expression Data.- Event Detection in Environmental Scanning.- Applications in Clustering and Visualization.- External Asymmetric Multidimensional Scaling Study of Regional Closeness in Marriage among Japanese Prefectures.- Socioeconomic and Age Differences in Women#x0027;s Cultural Consumption: Multidimensional Preference Analysis.- Analysis of Purchase Intentions at a Department Store by Three-Way Distance Model.- Facet Analysis of the AsiaBarometer Survey.