get_cluster_tightness_vector: Compute dispersion measures of a list of clusters
In mappeR: Construct and Visualize TDA Mapper Graphs
View source: R/cluster_factory.R
get_cluster_tightness_vector R Documentation
Compute dispersion measures of a list of clusters
Description
Compute dispersion measures of a list of clusters
Usage
get_cluster_tightness_vector(dists, binclust_data)
Arguments
dists
A distance matrix for the data points inside all the input clusters
binclust_data
A list of named vectors whose names are those of data points and whose values are cluster ids
Value
A vector of real numbers in (0,\infty) containing mean distances to the medoids of each cluster in dists.
mappeR documentation built on June 9, 2025, 5:08 p.m.
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View source: R/cluster_factory.R
| get_cluster_tightness_vector | R Documentation |
Compute dispersion measures of a list of clusters
Description
Compute dispersion measures of a list of clusters
Usage
get_cluster_tightness_vector(dists, binclust_data)
Arguments
dists |
A distance matrix for the data points inside all the input clusters |
binclust_data |
A list of named vectors whose names are those of data points and whose values are cluster ids |
Value
A vector of real numbers in (0,\infty) containing mean distances to the medoids of each cluster in dists.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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