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// ◇ Classical Machine Learning

t-SNE

Maps high-dimensional data to 2D while keeping neighbors close.

2008 Foundational extended

IN PLAIN WORDS

Converts similarities to probabilities and reproduces them in 2D with a t-distribution. Great for seeing clusters in embeddings, but cluster sizes and distances are not meaningful.

Used in: Embedding visualization, single-cell analysis

TIMELINE · prerequisites → this → what builds on it

1901 Principal Com…2008 t-SNE2018 UMAP

01Original paper

Visualizing Data using t-SNE

van der Maaten & Hinton · JMLR 9 · 2008

Open ↗ ✓ Verified · 官方页面 HTTP/WebFetch 核实

02Where it sits

Learn the left column first; the right column builds on this one.

Learn first

t-SNE

Then you can learn

Principal Compo…UMAP t-SNE

Left: prerequisites · right: builds on this · dashed: related. Full map →

03Learning resources

Official docs, explainers, courses and reference code. All links checked.

04Where the course teaches it

For AI / data

Data updated: AI algorithms & curriculum(UTC+8)