Abstract
The goal of a dimensionality reduction is to reduce the number of features without significantly changing key characteristics of the data, such as the distances between data points. Dimensionality reduction can be understood as an unsupervised analogue to regression.
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Plaue, M. (2023). Unsupervised machine learning. In: Data Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-67882-4_7
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DOI: https://doi.org/10.1007/978-3-662-67882-4_7
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