Editing Dimensionality reduction (section)

===t-SNE===
{{Main|t-distributed stochastic neighbor embedding}}
T-distributed Stochastic Neighbor Embedding (t-SNE) is a nonlinear dimensionality reduction technique useful for the visualization of high-dimensional datasets. It is not recommended for use in analysis such as clustering or outlier detection since it does not necessarily preserve densities or distances well.<ref>{{cite book |last1=Schubert |first1=Erich |last2=Gertz |first2=Michael |title=Similarity Search and Applications |chapter=Intrinsic t-Stochastic Neighbor Embedding for Visualization and Outlier Detection |date=2017 |editor-last=Beecks |editor-first=Christian |editor2-last=Borutta |editor2-first=Felix |editor3-last=Kröger |editor3-first=Peer |editor4-last=Seidl |editor4-first=Thomas |chapter-url=https://link.springer.com/chapter/10.1007/978-3-319-68474-1_13 |series=Lecture Notes in Computer Science |volume=10609 |language=en |location=Cham |publisher=Springer International Publishing |pages=188–203 |doi=10.1007/978-3-319-68474-1_13 |isbn=978-3-319-68474-1}}</ref>