Package: fastEmbedR 0.99.17

fastEmbedR: Native UMAP and Interpolation-Based t-SNE Embeddings

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:Stefano Cacciatore [aut, cre]