local_hierarchical_clusterer: Create a dude to perform hierarchical clustering in a local...

In mappeR: Construct and Visualize TDA Mapper Graphs

Create a dude to perform hierarchical clustering in a local context using the hclust package.

Description

Create a dude to perform hierarchical clustering in a local context using the hclust package.

Usage

local_hierarchical_clusterer(method)

Arguments

method

A string to pass to hclust to tell it what kind of clustering to do.

Details

This clusterer determines cutting heights for dendrograms by cutting them individually, just above the merge point with the longest unbroken gap until the next merge point.

Value

A function that inputs a list of distance matrices and returns a list containing one vector per matrix, whose element names are data point names and whose values are cluster labels (within each patch).

Examples

data = data.frame(x = sapply(1:100, function(x) cos(x)), y = sapply(1:100, function(x) sin(x)))
projx = data$x

dists = dist(data)

num_bins = 10
percent_overlap = 25

cover = create_width_balanced_cover(min(projx), max(projx), num_bins, percent_overlap)

create_1D_mapper_object(data, dists, projx, cover, local_hierarchical_clusterer("mcquitty"))

mappeR documentation built on June 9, 2025, 5:08 p.m.