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Found 3 papers, 1 papers with code
What is the $\textit{intrinsic}$ dimension of your binary data? -- and how to compute it quickly
Dimensionality is an important aspect for analyzing and understanding (high-dimensional) data.
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research
Difficulties in replication and reproducibility of empirical evidences in machine learning research have become a prominent topic in recent years.
Selecting Features by their Resilience to the Curse of Dimensionality
Real-world datasets are often of high dimension and effected by the curse of dimensionality.
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