Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis
Optimal Transport Alignment
CPS Analysis for cluster validation..
Covering Point Set Plot
CPS Analysis on a collection of clustering results
Generate an ensemble of partitions.
Jaccard similarity matrix.
Membership Heat Map
Mean partition by optimal transport alignment.
Visualize a partition on 2 dimensional space
Perturb data by adding noise, bootstrapping or mix-up
Point-wise Uncertainty Assessment
Data preprocessing
CPS Analysis on selecting visualization method.
Wasserstein distance between two partitions.
Providing mean partition for ensemble clustering by optimal transport alignment(OTA), uncertainty measures for both partition-wise and cluster-wise assessment and multiple visualization functions to show uncertainty, for instance, membership heat map and plot of covering point set. A partition refers to an overall clustering result. Jia Li, Beomseok Seo, and Lin Lin (2019) <doi:10.1002/sam.11418>. Lixiang Zhang, Lin Lin, and Jia Li (2020) <doi:10.1093/bioinformatics/btaa165>.