Struct KcfcConfig 

#[non_exhaustive]
pub struct KcfcConfig {
    pub k: usize,
    pub ncomp: usize,
    pub max_iter: usize,
    pub seed: u64,
}

Configuration for kCFC (k-means-like clustering via Functional Components).

Each cluster is represented by a per-cluster FPCA model rather than a centroid. A curve is assigned to the cluster whose FPCA basis gives the smallest L2 reconstruction error.

Reference: Chiou & Li (2007), “Functional clustering and identifying substructures of longitudinal data.” R baseline: fdapace::kCFC.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

k: usize

Number of clusters (default: 2). Must be ≥ 1 and ≤ n.

ncomp: usize

Number of per-cluster FPC components to use for reconstruction (default: 3).

Clamped internally to min(n_k, m) where n_k is the cluster size.

max_iter: usize

Maximum number of reassignment iterations (default: 50).

seed: u64

Random seed for k-means++ initialization (default: 42).

Trait Implementations

impl Clone for KcfcConfig

fn clone(&self) -> KcfcConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for KcfcConfig

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

Formats the value using the given formatter.

impl Default for KcfcConfig

fn default() -> Self

Returns the “default value” for a type.

impl PartialEq for KcfcConfig

fn eq(&self, other: &KcfcConfig) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for KcfcConfig