cluster_cutoff_at_first_empty_bin

Height values in hierarchical clustering.

heights

Maximum distance between points in a level set.

diam

Controls how many bins there are in the histogram used to determine cutoff. values

num_bins_when_clustering


This function decides where to cut the hierarchical clustering tree to define clusters within a level set.


Topological Data Analysis using Mapper (discrete Morse theory).
Generate a 1-dimensional simplicial complex from a filter
function defined on the data:  1. Define a filter function (lens) on the
data.  2. Perform clustering within within each level set and generate
one node (vertex) for each cluster.  3. For each pair of clusters in
adjacent level sets with a nonempty intersection, generate one edge
between vertices.  The function mapper1D uses a filter function with
codomain R, while the the function mapper2D uses a filter function with
codomain R^2.

cluster_cutoff_at_first_empty_bin: cluster_cutoff_at_first_empty_bin function

Description

Usage

Arguments

Value

References

See Also