Man pages for KODAMA
Knowledge Discovery by Accuracy Maximization

categorical_tableCategorical Information
clinicalClinical Data of a Cohort of Prostate Cancer Patiens
continuous_tableContinuous Information
core_cppMaximization of Cross-Validateed Accuracy Methods
dinisurfaceUlisse Dini Data Set Generator
floydFind Shortest Paths Between All Nodes in a Graph
frequency_matchingFrequency Matching
helicoidHelicoid Data Set Generator
knn.double.cvCross-Validation with k-Nearest Neighbors algorithm.
knn.kodamak-Nearest Neighbors Classifier.
KODAMAKnowledge Discovery by Accuracy Maximization
KODAMA-internalInternal Grid Functions
k.testK-Test of Statistical Association
loadsVariable Ranking
lymphomaLymphoma Gene Expression Dataset
mcplotEvaluation of the Monte Carlo accuracy results
MetRefNuclear Magnetic Resonance Spectra of Urine Samples
normalizationNormalization Methods
pcaPrincipal Components Analysis
pls.double.cvCross-Validation with PLS-DA.
pls.kodamaPartial Least Squares regression.
scalingScaling Methods
spiralsSpirals Data Set Generator
swissrollSwiss Roll Data Set Generator
transformyConversion Classification Vector to Matrix
txtsummaryMedian and Coefficient Interval
USAState of the Union Data Set
KODAMA documentation built on May 1, 2019, 10:54 p.m.