# Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation

arXiv: https://arxiv.org/abs/2005.11107 · HTML: https://mlsanity.com/paper/2005.11107/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 May 2020.

## Built on by (most cited first, 5 of 5)

- [Scikit-dimension: a Python package for intrinsic dimension estimation](https://mlsanity.com/paper/2109.02596/) (2021)
- [Scalable Geometric Learning with Correlation-Based Functional Brain Networks](https://mlsanity.com/paper/2503.23653/) (2025)
- [Shape-Preserving Dimensionality Reduction : An Algorithm and Measures of Topological Equivalence](https://mlsanity.com/paper/2106.02096/) (2021)
- [On consistent estimation of dimension values](https://mlsanity.com/paper/2412.13898/) (2024)
- [A Survey and Comparative Evaluation of Intrinsic Dimension Estimators under the Manifold Hypothesis](https://mlsanity.com/paper/2509.15517/) (2025)

## Abstract (arXiv)

Discovering patterns of the complex high-dimensional data is a long-standing problem. Dimension Reduction (DR) and Intrinsic Dimension Estimation (IDE) are two fundamental thematic programs that facilitate geometric understanding of the data. We present Rdimtools - an R package that supports 133 DR and 17 IDE algorithms whose extent makes multifaceted scrutiny of the data in one place easier. Rdimtools is distributed under the MIT license and is accessible from CRAN, GitHub, and its package website, all of which deliver instruction for installation, self-contained examples, and API documentation.