lgspline (version 0.2.0)

make_partitions: 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
)

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

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