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

Champion

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.

夸張

易于出錯(cuò)