Man pages for KODAMA
Knowledge Discovery by Accuracy Maximization
| categorical_table | Categorical Information |
| clinical | Clinical Data of a Cohort of Prostate Cancer Patiens |
| continuous_table | Continuous Information |
| core_cpp | Maximization of Cross-Validateed Accuracy Methods |
| dinisurface | Ulisse Dini Data Set Generator |
| floyd | Find Shortest Paths Between All Nodes in a Graph |
| frequency_matching | Frequency Matching |
| helicoid | Helicoid Data Set Generator |
| knn.double.cv | Cross-Validation with k-Nearest Neighbors algorithm. |
| knn.kodama | k-Nearest Neighbors Classifier. |
| KODAMA | Knowledge Discovery by Accuracy Maximization |
| KODAMA-internal | Internal Grid Functions |
| k.test | K-Test of Statistical Association |
| loads | Variable Ranking |
| lymphoma | Lymphoma Gene Expression Dataset |
| mcplot | Evaluation of the Monte Carlo accuracy results |
| MetRef | Nuclear Magnetic Resonance Spectra of Urine Samples |
| normalization | Normalization Methods |
| pca | Principal Components Analysis |
| pls.double.cv | Cross-Validation with PLS-DA. |
| pls.kodama | Partial Least Squares regression. |
| scaling | Scaling Methods |
| spirals | Spirals Data Set Generator |
| swissroll | Swiss Roll Data Set Generator |
| transformy | Conversion Classification Vector to Matrix |
| txtsummary | Median and Coefficient Interval |
| USA | State of the Union Data Set |
