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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "fastEmbedR" in publications use:'
type: software
license: MIT
title: 'fastEmbedR: Native UMAP and Interpolation-Based t-SNE Embeddings'
version: 0.99.17
doi: 10.32614/CRAN.package.fastEmbedR
identifiers:
- type: url
  value: https://github.com/tkcaccia/fastEmbedR-benchmark
abstract: A native float32 UMAP implementation and a configurable interpolation-based
  t-SNE implementation for embeddings from data matrices or precomputed nearest-neighbor
  indices and distances. One-call workflows use package-native CPU HNSW and Apple
  Metal exact or IVF-Flat search. Optional CUDA support links directly to FAISS GPU
  and the RAPIDS cuVS C API while retaining nearest-neighbor results on the device.
  Preprocessing, graph or affinity construction, fixed-reference transform, and layout
  optimization use native code with explicit CPU, Metal, and CUDA backend reporting.
  UMAP exposes neighborhood, metric, graph mode, backend, seed, and preprocessing
  controls, while optimizer controls such as epochs, minimum distance, spread, learning
  rate, repulsion, and negative sampling follow a recorded release policy rather than
  a general-purpose sweep API. Optional graph utilities support downstream Louvain,
  Leiden, and Walktrap community detection.
authors:
- family-names: Cacciatore
  given-names: Stefano
  email: tkcaccia@gmail.com
  orcid: https://orcid.org/0000-0001-7052-7156
repository: https://biocstaging.r-universe.dev
repository-code: https://github.com/tkcaccia/fastEmbedR
commit: 918492c82ebe4804299b8713b5315b0fcd6f47d2
url: https://tkcaccia.github.io/fastEmbedR/
date-released: '2026-08-30'
contact:
- family-names: Cacciatore
  given-names: Stefano
  email: tkcaccia@gmail.com
  orcid: https://orcid.org/0000-0001-7052-7156