资 源 简 介
This is the implementition of oblique forests. the author propose to employ “oblique” random forests (oRF) built from multivariate trees which explicitly learn optimal split directions at internal nodes using linear discriminative models, rather than using random coefficients as the original oRF.
文 件 列 表
ObliqueForest-master
LICENSE
README.md
borga_cca.m
calculateInfoGain.m
canoncorr_custom.m
classifyPoints.m
crossValidationTest.m
evaluateValidationSet.m
example_images
findBestSplit.m
generateClusters.m
generateRandomClusters.m
getCrossValidationSets.m
getProbabilitiesForPoints.m
optimizeNode.m
plotAccuraciesFromErrorFile.m
plotPosteriorDistribution.m
predictPointClasses.m
random_forest.m
random_forest_randclusters.m
readDataFromImage.m
runForestAndVisualizeResult.m
train_forest.m
train_tree.m
visualizeClassLines.m
visualizeData.m
