Man pages for mosclust
Model Order Selection for Clustering
| Bernstein.compute.pvalues | Function to compute the stability indices and the p-values... |
| Bernstein.p.value | Function to compute the p-value according to Bernstein... |
| Chi.square.compute.pvalues | Function to compute the stability indices and the p-values... |
| Compute.Chi.sq | Function to evaluate if a set of similarity distributions... |
| compute.cumulative.multiple | Function to compute the empirical cumulative distribution... |
| compute.integral | Functions to compute the integral of the ecdf of the... |
| Do.boolean.membership.matrix | Function to compute and build up a pairwise boolean... |
| do.similarity.noise | Function that computes sets of similarity indices using... |
| do.similarity.projection | Function that computes sets of similarity indices using... |
| do.similarity.resampling | Function that computes sets of similarity indices using... |
| Fuzzy.kmeans.sim.noise | Function to compute similarity indices using noise injection... |
| Fuzzy.kmeans.sim.projection | Function to compute similarity indices using random... |
| Fuzzy.kmeans.sim.resampling | Function to compute similarity indices using resampling... |
| Hierarchical.sim.noise | Function to compute similarity indices using noise injection... |
| Hierarchical.sim.projection | Function to compute similarity indices using random... |
| Hierarchical.sim.resampling | Function to compute similarity indices using resampling... |
| Hybrid.testing | Statistical test based on stability methods for model order... |
| Hypothesis.testing | Function to select significant clusterings from a given set... |
| Intersect | Function to compute the intersection between elements of two... |
| Kmeans.sim.noise | Function to compute similarity indices using noise injection... |
| Kmeans.sim.projection | Function to compute similarity indices using random... |
| Kmeans.sim.resampling | Function to compute similarity indices using resampling... |
| mosclust-package | Model order selection for clustering |
| PAM.sim.noise | Function to compute similarity indices using noise injection... |
| PAM.sim.projection | Function to compute similarity indices using random... |
| PAM.sim.resampling | Function to compute similarity indices using resampling... |
| perturb.by.noise | Function to generate a data set perturbed by noise. |
| plot_cumulative | Function to plot the empirical cumulative distribution... |
| plot_histograms.similarity | Plotting histograms of similarity measures between... |
| plot_pvalues | Function to plot p-values for different tests of hypothesis |
| Similarity.measures | Similarity measures between pairs of clusterings |
