文件名称:Classification-toolbox

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通过降维处理,高维数据的分类一般可以转换为2维数据分类。此源码包含一个2维-2类数据分类工具箱。包括:ML,K-NN,SVM,LS,DB-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.
(系统自动生成,下载前可以参看下载内容)

下载文件列表

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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