make_partitions: Create Data Partitions Using Clustering

In lgspline: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation

Create Data Partitions Using Clustering

Description

Partitions data support into clusters using Voronoi-like diagrams.

Usage

make_partitions(
  data,
  cluster_args,
  cluster_on_indicators,
  K,
  parallel,
  cl,
  do_not_cluster_on_these,
  neighbor_tolerance
)

Arguments

data	Numeric matrix of predictor variables
cluster_args	Parameters for clustering
cluster_on_indicators	Logical to include binary predictors
K	Number of partitions minus 1 (K)
parallel	Logical to enable parallel processing
cl	Cluster object for parallel computation
do_not_cluster_on_these	Columns to exclude from clustering
neighbor_tolerance	Scaling factor for neighbor detection

Value

A list containing: - centers: Cluster center coordinates - knots: Knot points between centers - assign_partition: Function to assign new data to partitions - neighbors: List of neighboring partition indices

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