rustframe::compute::models::k_means

Struct KMeans

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pub struct KMeans {
    pub centroids: Matrix<f64>,
}

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§centroids: Matrix<f64>

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impl KMeans

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pub fn fit( x: &Matrix<f64>, k: usize, max_iter: usize, tol: f64, ) -> (Self, Vec<usize>)

Fit with k clusters.

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pub fn predict(&self, x: &Matrix<f64>) -> Vec<usize>

Predict nearest centroid for each sample.

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impl Freeze for KMeans

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impl RefUnwindSafe for KMeans

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impl Send for KMeans

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impl Sync for KMeans

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impl Unpin for KMeans

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impl UnwindSafe for KMeans

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type Error = <U as TryFrom<T>>::Error

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