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Overview of NaN features

NaN Toolbox

A statistics and machine learning toolbox for Scilab for data with and w/o MISSING VALUES encoded as NaN's

FEATURES of the NaN-toolbox :

classification methods (including FDA/LDA, MDA/QDA, NBC/aNBC, REG/PLS, WienerHopf, PLA, SVM ...)

NaN`s are treated as missing values

supports weighting of data samples

significance test, confidence intervals and Spearman`s rank correlation included in CORRCOEF

machine learning and classification toolbox

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