Full k-means clustering

Rust interface for k-means clustering using Lloyd's algorithm with SIMD or GEMM acceleration depending on dimensionality.

Usage

rs_k_means(data, k, kmeans_params, seed, verbose)

Arguments

data

Numerical matrix. The data to cluster, of dimensions samples x features.

k

Integer. Number of clusters.

kmeans_params

Named list. Parameters produced by params_kmeans().

seed

Integer. Seed for reproducibility.

verbose

Boolean. Controls verbosity.

Value

A named list with:

• centroids - Numeric matrix of shape k x features.

• assignments - Integer vector of length samples (1-indexed).