This volume presents theories, models, algorithms, and applications in clustering, classification, and visualization. It also includes applications of clustering, classification, and visualization in various fields such as marketing, recommendation system, biology, sociology, and social survey. The contributions give insight into new models and concepts and show the variety of research in clustering, classification, and visualization.

Zusammenfassung
This volume contains selected papers presented at two joint GermanJapanese symposia on data analysis and related elds. The articles substantially extend and further develop material presented at the two symposia organized on the basis of longstanding and close relationships which have been cultivated in the last couple of decades between the two classi cation societies: the German Class- cation Society (Gesellschaft fu ¨r Klassi kation e. V.) and the Japanese Classi cation Society. These symposia have been very helpful in exchanging ideas, views, and knowledge between the two societies and have served as a spring board for more extensive and closer co-operation between the societies as well as among their individual members. The scienti c program of the rst Joint JapaneseGerman Symposium (Tokyo 2005)included23presentations;forthesecondJointGermanJapaneseSymposium (Berlin 2006) 27 presentations were scheduled. This volume presents 21 peer refereed papers, which are grouped into three parts: 1. Part 1 Clustering and Visualization (eight papers) 2. Part 2 Methods in Fields (nine papers) 3. Part 3 Applications in Clustering and Visualization (four papers) The concept of having a joint symposium of the two classi cation societies came from the talks with Hans-Hermann and Wolfgang when Akinori attended the 28th Annual Conference of the German Classi cation Society held in Dortmund in March 2004.

Inhalt
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.