Anomaly Detection with Advanced Nonlinear Dimensionality Reduction
Dimensionality reduction techniques such as t-SNE and UMAP are useful both for overview of high-dimensional datasets and as part of a machine learning pipeline. These techniques create a non-parametric model of the manifold by fitting a density kernel about each data point using the distances to its...
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Digital WPI
2020
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| Online Access: | https://digitalcommons.wpi.edu/etd-theses/1378 https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=2399&context=etd-theses |