Through the dimension reduction processing, high dimensional data classification commonly can convert to 2 d data classification. This source includes a 2 d-two kinds of data classification toolbox. Including: ML, K-NN by SVM, LS, DB.

Classification_toolbox_two dimensional_two class\About.bmp
................................................\Ada_Boost.m
................................................\ADDC.m
................................................\AGHC.m
................................................\Backpropagation_Batch.m
................................................\Backpropagation_CGD.m
................................................\Backpropagation_Quickprop.m
................................................\Backpropagation_Recurrent.m
................................................\Backpropagation_SM.m
................................................\Backpropagation_Stochastic.m
................................................\Balanced_Winnow.m
................................................\Bayesian_Model_Comparison.m
................................................\Bhattacharyya.m
................................................\BIMSEC.m
................................................\C4_5.m
................................................\calculate_error.m
................................................\calculate_region.m
................................................\CART.m
................................................\CARTfunctions.m
................................................\Cascade_Correlation.m
................................................\Chernoff.m
................................................\Classification.txt
................................................\classification_error.m
................................................\classifier.m
................................................\classifier.mat
................................................\classifier_commands.m
................................................\classify_paramteric.m
................................................\click_points.m
................................................\combinations.m
................................................\Competitive_learning.m
................................................\Components_without_DF.m
................................................\Components_with_DF.m
................................................\contents.m
................................................\datasets\chess.mat
................................................\........\clouds.mat
................................................\........\clouds2.mat
................................................\........\Copy_of_clouds2.mat
................................................\........\DHSchapter10.mat
................................................\........\DHSchapter2.mat
................................................\........\DHSchapter3.mat
................................................\........\DHSchapter4.mat
................................................\........\DHSchapter5.mat
................................................\........\DHSchapter6.mat
................................................\........\DHSchapter7.mat
................................................\........\DHSchapter8.mat
................................................\........\DHSchapter9.mat
................................................\........\DHS_cover.mat
................................................\........\four_spiral.mat
................................................\........\spiral.mat
................................................\........\XOR.mat
................................................\Deterministic_annealing.m
................................................\Deterministic_Boltzmann.m
................................................\Deterministic_SA.m
................................................\Discrete_Bayes.m
................................................\Discriminability.m
................................................\DSLVQ.m
................................................\EM.m
................................................\enter_distributions.m
................................................\enter_distributions.mat
................................................\enter_di

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