Titlebook: Innovations in Classification, Data Science, and Information Systems; Proceedings of the 2 Daniel Baier (Chair of Marketing and Innovation

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Regression Clustering with Redescending M-Estimatorsusters. We work out the method not only for classical regression but also for orthogonal regression and multivariate locations and give consistency results for all three cases. The approach of orthogonal regression is applied to the identification of edges in noisy images.

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ClusCorr98 - Adaptive Clustering, Multivariate Visualization, and Validation of Resultsxploratory and model-based clustering techniques with in-built validation via resampling. Using special weights of observations leads to well-known resampling techniques. By doing so, the appropriate number of clusters can be validated. As an illustration of an interesting feature of ClusCorr98, a g

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