get_centers: Get Centers for Partitioning

In lgspline: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation

Get Centers for Partitioning

Description

Get Centers for Partitioning

Usage

get_centers(data, K, cluster_args, cluster_on_indicators)

Arguments

data	Matrix of predictor data
K	Number of partitions minus 1 (K)
cluster_args	List with custom centers and kmeans args
cluster_on_indicators	Include binary predictors in clustering

Details

Returns partition centers via:

1. Custom supplied centers if provided as a valid K \times q matrix

2. kmeans clustering on all non-spline variables if cluster_on_indicators=TRUE

3. kmeans clustering excluding binary variables if cluster_on_indicators=FALSE

Value

Matrix of cluster centers

lgspline documentation built on June 8, 2025, 10:45 a.m.