Struct PatternClusterer 

pub struct PatternClusterer { /* private fields */ }

Pattern clustering using K-means

Groups similar commits into clusters for pattern discovery

Implementations

impl PatternClusterer

pub fn new() -> Self

Create clusterer with default k=5 clusters

pub fn with_k(k: usize) -> Self

Create clusterer with custom k

pub fn fit(&mut self, features: &[CommitFeatures]) -> Result<()>

Fit clusters to data

pub fn predict(&self, features: &CommitFeatures) -> Result<usize>

Predict cluster for new features

pub fn predict_batch(&self, features: &[CommitFeatures]) -> Result<Vec<usize>>

Predict clusters for multiple features

pub fn centroids(&self) -> &[Vec<f32>]

Get cluster centroids

pub fn inertia(&self, features: &[CommitFeatures]) -> Result<f32>

Compute inertia (sum of squared distances to centroids)

Trait Implementations

impl Default for PatternClusterer

fn default() -> Self

Returns the “default value” for a type.