mlsanityData to 7 Oct 2026

Lecture notes on high-dimensional data

arXiv 2101.05841 ↗First posted 14 Jan 2021math.FA cs.LGcited by 5

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Abstract (arXiv)

These are lecture notes based on the first part of a course on 'Mathematical Data Science', which I taught to final year BSc students in the UK in 2019-2020. Topics include: concentration of measure in high dimensions; Gaussian random vectors in high dimensions; random projections; separation/disentangling of Gaussian data. A revised version has been published as part of the textbook [Mathematical Introduction to Data Science, Springer, Berlin, Heidelberg, 2024, https://link.springer.com/book/10.1007/978-3-662-69426-8].

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Jan 2021.

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Citing papers per year: 2022: 1; 2023: 1; 2024: 2; 2025: 0; 2026: 1.

5 papers.