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Intrinsic Dimension of Geometric Data Sets
[article]
2020
arXiv
pre-print
The curse of dimensionality is a phenomenon frequently observed in machine learning (ML) and knowledge discovery (KD). There is a large body of literature investigating its origin and impact, using methods from mathematics as well as from computer science. Among the mathematical insights into data dimensionality, there is an intimate link between the dimension curse and the phenomenon of measure concentration, which makes the former accessible to methods of geometric analysis. The present work
arXiv:1801.07985v3
fatcat:m7s3yj2y7veu3hpb7qie5ncdmi