| akmeans | Approximate K-Means Clustering |
| bmds | Bayesian Multidimensional Scaling by Oh and Raftery (2001) |
| cmds | Classical Multidimensional Scaling |
| cohesion | Cohesion in Finite Metric Space |
| coupling | optimal transport; returns p-Wasserstein distance |
| cvindex | Cluster Validity Indices based on Pairwise Distance |
| DAS | Distance-bAsed Statistical methods |
| emds | Euclified Multidimensional Scaling |
| hausdorff | Hausdorff Distance |
| kmeanspp | k-means++ seeding |
| ksets | K-Sets Clustering Algorithm |
| nef | Negative Eigenfraction |
| nem | Negative Eigenvalue Magnitude |
| reldist | Relative Distance in Finite Metric Space |
| test2.2014bg | Biswas and Ghosh (2014) |
| test2.2018bbw | Test for Equality of Two Distributions by Blumberg, Bhaumik,... |
| test2.2018ext | extended : seems like it's working |
| testk.mdf | MDF test |
| testk.ssd | Sum of Squared Distances |
| tsne | t-SNE embedding |
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