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Fast, safe K-Means++ for CPU-only workloads with optional SIMD acceleration. Supports Euclidean distance and dot-product scoring, provides both classic Lloyd iterations and a mini-batch variant, and includes parity tests against `linfa-clustering` to guard correctness. Benchmarks show significantly faster training and prediction than `linfa` on the same CPU. The crate builds on stable Rust.
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