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KMeans

flow_utils::clustering

Struct KMeans

pub struct KMeans;

Expand description

K-means clustering

Implementations§

impl KMeans

pub fn fit_from_rows( data_rows: Vec<Vec<f64>>, config: &KMeansConfig, ) -> ClusteringResult<KMeansResult>

Fit K-means clustering model to data from raw vectors

Helper function to accept Vec<Vec> for version compatibility

§Arguments

data_rows - Input data as rows (n_samples × n_features)
config - Configuration for K-means

§Returns

KMeansResult with cluster assignments and centroids

pub fn fit( data: &Array2<f64>, config: &KMeansConfig, ) -> ClusteringResult<KMeansResult>

Perform K-means clustering

§Arguments

data - Input data matrix (n_samples × n_features)
config - Configuration for K-means

§Returns

KMeansResult with cluster assignments and centroids

Auto Trait Implementations§

impl Freeze for KMeans

impl RefUnwindSafe for KMeans

impl Send for KMeans

impl Sync for KMeans

impl Unpin for KMeans

impl UnsafeUnpin for KMeans

impl UnwindSafe for KMeans

Blanket Implementations§

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where T: 'static + ?Sized,

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