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README.md

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![Build Status](https://github.com/Deniskore/kmeans_uni/actions/workflows/ci.yml/badge.svg)
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[![Crates.io](https://img.shields.io/crates/v/kmeans_uni.svg)](https://crates.io/crates/kmeans_uni)
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[![API reference](https://docs.rs/kmeans_uni/badge.svg)](https://docs.rs/kmeans_uni)
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[![License](https://img.shields.io/crates/l/kmeans_uni.svg)](https://crates.io/crates/kmeans_uni)
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# kmeans_uni
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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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