Expand description
§avx-clustering
State-of-the-art clustering algorithms for Rust, designed to surpass scikit-learn, HDBSCAN, and RAPIDS cuML in performance and capabilities.
§Features
- Partitional Clustering: KMeans, KMedoids, Fuzzy C-Means, Mean Shift
- Density-Based: DBSCAN, HDBSCAN, OPTICS, DENCLUE
- Hierarchical: Agglomerative, Divisive, BIRCH
- Model-Based: GMM, Bayesian GMM, Dirichlet Process GMM
- Graph-Based: Spectral Clustering, Louvain, Leiden
- Scientific: 4D clustering, curved manifolds, streaming, GPU acceleration
Re-exports§
pub use prelude::*;
Modules§
- algorithms
- Clustering algorithms
- gpu
- GPU acceleration support
- metrics
- Metrics for distance, validation, and manifold operations
- prelude
- Convenient re-exports for common clustering operations
- scientific
- Scientific computing features for clustering
Enums§
- Clustering
Error - Common error type for clustering operations