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quollr: Visualising How Nonlinear Dimension Reduction Warps Your Data
To construct a model in 2-D space from 2-D nonlinear dimension reduction data and then lift it to the high-dimensional space. Additionally, provides tools to visualise the model overlay the data in 2-D and high-dimensional space. Furthermore, provides summaries and diagnostics to evaluate the nonlinear dimension reduction layout.
Getting started
Browse package contents
Package details |
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| Author | Jayani P. Gamage [aut, cre] (ORCID: <https://orcid.org/0000-0002-6265-6481>), Dianne Cook [aut] (ORCID: <https://orcid.org/0000-0002-3813-7155>), Paul Harrison [aut] (ORCID: <https://orcid.org/0000-0002-3980-268X>), Michael Lydeamore [aut] (ORCID: <https://orcid.org/0000-0001-6515-827X>), Thiyanga S. Talagala [aut] (ORCID: <https://orcid.org/0000-0002-0656-9789>) |
| Maintainer | Jayani P. Gamage <jayanilakshika76@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.3.7 |
| URL | https://jayanilakshika.github.io/quollr/ |
| Package repository | View on CRAN |
| Installation |
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