Module gmm 

Model-based functional clustering via Gaussian mixture models.

Implements the fdaMocca approach (Arnqvist & Sjöstedt de Luna, 2023): project curves onto a basis, concatenate with scalar covariates, and fit a Gaussian mixture using EM.

Key functions:

• gmm_cluster — Main clustering entry point with automatic K selection
• gmm_em — Single-K EM algorithm
• predict_gmm — Assign new observations to clusters

Re-exports

pub use cluster::gmm_cluster;

pub use cluster::gmm_cluster_with_config;

pub use cluster::predict_gmm;

pub use cluster::GmmClusterConfig;

pub use em::gmm_em;

Modules

cluster

Clustering wrapper and prediction for GMM.

covariance

Covariance accumulation and regularization for GMM components.

em

EM algorithm for Gaussian mixture models.

init

Feature extraction and k-means++ initialization for GMM.

Structs

GmmClusterResult

Result from automatic K selection.

GmmResult

Result from a single GMM fit with fixed K.

Enums

CovType

Covariance structure for GMM components.