Knowledge Discovery by Accuracy Maximization


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Documentation for package ‘KODAMA’ version 3.0

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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.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