KNRScore is a python package to compute the K-Nearest-Rank Similarity for the quantification of local similarities across two maps or embeddings.
| Title: | KNRScore is a python package to compute the K-Nearest-Rank Similarity for the quantification of local similarities across two maps or embeddings. |
|---|---|
| Authors: | Taskesen, Erdogan |
| Publisher Information: | Zenodo |
| Publication Year: | 2025 |
| Collection: | Zenodo |
| Subject Terms: | python; embeddings; pca; tsne; dimensionality-reduction; umap; high-dimensional |
| Description: | Flameplot is rebranded to KNRscore as it better describes the methodology. All naming is updated to KNRscore Improved documentation and docstrings Unit tests are added ; If you use this software, please cite it using these metadata. |
| Document Type: | software |
| Language: | unknown |
| Relation: | https://github.com/erdogant/KNRscore/tree/2.0.0; https://zenodo.org/records/15268593; oai:zenodo.org:15268593; https://doi.org/10.5281/zenodo.15268593 |
| DOI: | 10.5281/zenodo.15268593 |
| Availability: | https://doi.org/10.5281/zenodo.15268593; https://zenodo.org/records/15268593 |
| Rights: | MIT License ; mit ; https://opensource.org/licenses/MIT |
| Accession Number: | edsbas.4ED8F4AF |
| Database: | BASE |