R: Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis

# Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis

## Documentation for package ‘OTclust’ version 1.0.6

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

align | Optimal Transport Alignment
clustCPS | CPS Analysis for cluster validation..
cplot | Covering Point Set Plot
CPS | CPS Analysis on a collection of clustering results
ensemble | Generate an ensemble of partitions.
jaccard | Jaccard similarity matrix.
mplot | Membership Heat Map
otclust | Mean partition by optimal transport alignment.
otplot | Visualize a partition on 2 dimensional space
perturb | Perturb data by adding noise, bootstrapping or mix-up
pplot | Point-wise Uncertainty Assessment
preprocess | Data preprocessing
sim1 | Simulated toy data
visCPS | CPS Analysis on selecting visualization method.
vis_pollen | Single cell gene visualization data from Pollen's paper
wassDist | Wasserstein distance between two partitions.
YAN | Single cell gene data from Yan's paper