MapperAlgo: Mapper Algorithm

In MapperAlgo: Topological Data Analysis: Mapper Algorithm

Mapper Algorithm

Description

Implements the Mapper algorithm for Topological Data Analysis (TDA). It divides data into intervals, applies clustering within each interval, and constructs a simplicial complex representing the structure of the data.

Usage

MapperAlgo(
  filter_values,
  intervals,
  percent_overlap,
  methods,
  method_params = list(),
  cover_type = "extension",
  num_cores = 1
)

Arguments

filter_values	A data frame or matrix of the data to be analyzed.
intervals	An integer specifying the number of intervals.
percent_overlap	Percentage of overlap between consecutive intervals.
methods	Specify the clustering method to be used, e.g., "hclust" or "kmeans".
method_params	A list of parameters for the clustering method.
cover_type	Type of interval, either 'stride' or 'extension'.
num_cores	Number of cores to use for parallel computing.

Value

A list containing the Mapper graph components:

adjacency

The adjacency matrix of the Mapper graph.

num_vertices

The number of vertices in the Mapper graph.

level_of_vertex

A vector specifying the level of each vertex.

points_in_vertex

A list of the indices of the points in each vertex.

points_in_level_set

A list of the indices of the points in each level set.

vertices_in_level_set

A list of the indices of the vertices in each level set.

MapperAlgo documentation built on June 21, 2025, 9:08 a.m.