Knowledge Discovery by Accuracy Maximization
Categorical Information
Continuous Information
Maximization of Cross-Validateed Accuracy Methods
Continuous Information
Ulisse Dini Data Set Generator
Find Shortest Paths Between All Nodes in a Graph
Frequency Matching
Helicoid Data Set Generator
K-Test of Statistical Association
Cross-Validation with k-Nearest Neighbors algorithm.
k-Nearest Neighbors Classifier.
Internal Grid Functions
Knowledge Discovery by Accuracy Maximization
Visualization of KODAMA output
Variable Ranking
Evaluation of the Monte Carlo accuracy results
Continuous Information
Normalization Methods
Principal Components Analysis
Cross-Validation with PLS-DA.
Partial Least Squares regression.
Scaling Methods
Spirals Data Set Generator
Swiss Roll Data Set Generator
Conversion Classification Vector to Matrix
Median and Coefficient Interval
An unsupervised and semi-supervised learning algorithm that performs feature extraction from noisy and high-dimensional data. It facilitates identification of patterns representing underlying groups on all samples in a data set. Based on Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA. (2017) Bioinformatics <doi:10.1093/bioinformatics/btw705> and Cacciatore S, Luchinat C, Tenori L. (2014) Proc Natl Acad Sci USA <doi:10.1073/pnas.1220873111>.