Man pages for KODAMA
Knowledge Discovery by Accuracy Maximization
| core_cpp | Maximization of Cross-Validateed Accuracy Methods |
| dinisurface | Ulisse Dini Data Set Generator |
| floyd | Find Shortest Paths Between All Nodes in a Graph |
| helicoid | Helicoid Data Set Generator |
| kabsch | Kabsch Algorithm |
| KODAMA-internal | Internal Grid Functions |
| KODAMA.matrix | Knowledge Discovery by Accuracy Maximization |
| KODAMA.visualization | Visualization of KODAMA output |
| lymphoma | Lymphoma Gene Expression Dataset |
| mcplot | Evaluation of the Monte Carlo accuracy results |
| MDS.defaults | Default configuration for RMDS |
| MetRef | Nuclear Magnetic Resonance Spectra of Urine Samples |
| normalization | Normalization Methods |
| pca | Principal Components Analysis |
| scaling | Scaling Methods |
| spirals | Spirals Data Set Generator |
| swissroll | Swiss Roll Data Set Generator |
| transformy | Conversion Classification Vector to Matrix |
| tsne.defaults | Default configuration for Rtsne |
| umap.defaults | Default configuration for umap |
| USA | State of the Union Data Set |
