Struct SpectralEmbedding 

pub struct SpectralEmbedding { /* private fields */ }

Spectral Embedding dimensionality reduction

Spectral embedding uses the eigenvectors of the graph Laplacian matrix to find a low-dimensional representation that preserves local neighborhood structure.

Implementations

impl SpectralEmbedding

pub fn new(n_components: usize, affinitymethod: AffinityMethod) -> Self

Creates a new SpectralEmbedding instance

Arguments

• n_components - Number of dimensions in the embedding space
• affinity_method - Method for constructing the affinity matrix

pub fn with_n_neighbors(self, nneighbors: usize) -> Self

Set the number of neighbors for KNN graph construction

pub fn with_gamma(self, gamma: f64) -> Self

Set the gamma parameter for Gaussian kernel

pub fn with_epsilon(self, epsilon: f64) -> Self

Set the epsilon parameter for epsilon-ball graph

pub fn with_normalized(self, normalized: bool) -> Self

Set whether to use normalized Laplacian

pub fn with_random_state(self, seed: u64) -> Self

Set random seed for reproducibility

pub fn fit<S>(&mut self, x: &ArrayBase<S, Ix2>) -> Result<()>

where S: Data, S::Elem: Float + NumCast + Send + Sync,

Fits the SpectralEmbedding model to the input data

Arguments

• x - The input data, shape (n_samples, n_features)

Returns

• Result<()> - Ok if successful, Err otherwise

pub fn transform<S>(&self, x: &ArrayBase<S, Ix2>) -> Result<Array2<f64>>

where S: Data, S::Elem: Float + NumCast,

Transforms the input data using the fitted SpectralEmbedding model

Arguments

• x - The input data, shape (n_samples, n_features)

Returns

• Result<Array2<f64>> - The transformed data, shape (n_samples, n_components)

pub fn fit_transform<S>(&mut self, x: &ArrayBase<S, Ix2>) -> Result<Array2<f64>>

where S: Data, S::Elem: Float + NumCast + Send + Sync,

Fits the model and transforms the data in one step

Arguments

• x - The input data, shape (n_samples, n_features)

Returns

• Result<Array2<f64>> - The transformed data, shape (n_samples, n_components)

pub fn embedding(&self) -> Option<&Array2<f64>>

Returns the embedding

pub fn affinity_matrix(&self) -> Option<&Array2<f64>>

Returns the affinity matrix

pub fn eigenvalues(&self) -> Option<&Array1<f64>>

Returns the eigenvalues of the Laplacian

Trait Implementations

impl Clone for SpectralEmbedding

fn clone(&self) -> SpectralEmbedding

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SpectralEmbedding

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.