Okada, A., Imaizumi, T., Bock, H.-H., Gaul, W. (Eds.)
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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.
Content Level »Research
Keywords »Clustering - STATISTICA - Variable - algorithms - biology - classification - data analysis - model - multidimensional scaling
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–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'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.