Struct PointCloud 

pub struct PointCloud {
    pub points: Vec<Vec<f64>>,
    pub distance_matrix: Vec<Vec<f64>>,
}

A set of points in Euclidean space with a precomputed distance matrix.

Fields

points: Vec<Vec<f64>>

distance_matrix: Vec<Vec<f64>>

Implementations

impl PointCloud

pub fn new(points: Vec<Vec<f64>>) -> Result<Self, PersistenceError>

Build a point cloud, computing the pairwise Euclidean distance matrix.

pub fn n_points(&self) -> usize

pub fn dimension(&self) -> usize

pub fn distance(&self, i: usize, j: usize) -> f64

Distance between points at indices i and j.

pub fn knn(&self, k: usize) -> Result<Vec<Vec<usize>>, PersistenceError>

k-nearest-neighbor graph: returns for each point the indices of its k nearest neighbors (excluding itself), sorted by distance ascending.

pub fn max_distance(&self) -> f64

Maximum pairwise distance in the cloud.

pub fn unique_distances(&self) -> Vec<f64>

Return the sorted list of unique pairwise distances (filtration thresholds).

Trait Implementations

impl Clone for PointCloud

fn clone(&self) -> PointCloud

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PointCloud

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

Formats the value using the given formatter.