gtclust_temp: Hierarchical clustering with contiguity constraints for...

View source: R/gtclust.R

gtclust_tempR Documentation

Hierarchical clustering with contiguity constraints for temporal data

Description

This function take a data.frame and performs hierarchical clustering with contiguity constraints.

Usage

gtclust_temp(df, method = "ward", scaling = "raw", display_progress = FALSE)

Arguments

df

an sf data.frame with polygons like features

method

linkage criterion in ward (default) or average, median

scaling

default scaling of the features in zscore (default) or raw (i.e. no scaling)

display_progress

boolean to set progression bar

Value

an hclust like object with additional slots

data

The numeric data (eventually scaled) used for the clustering

centers

The protoypes of each tree nodes


comeetie/gtclust documentation built on Sept. 17, 2024, 12:45 a.m.