Titlebook: Dimensionality Reduction with Unsupervised Nearest Neighbors; Oliver Kramer Book 2013 Springer-Verlag Berlin Heidelberg 2013 Computational

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Sozialwissenschaftliche Hermeneutikings. Dimensionality reduction can be employed for various tasks, e.g., visualization, preprocessing for pattern recognition methods, or for symbolic algorithms. To allow human understanding and interpretation of high-dimensional data, the reduction to 2- and 3-dimensional spaces is an important task.

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