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文件名称:机器学习算法各种代码

修正介绍说明

介绍说明－－下载内容来自于网络，使用问题请自行百度

机器学习算法各种代码，包含svm，pca，lda，决策树等源码
(系统自动生成,下载前可以参看下载内容)

下载文件列表

压缩包 : Algorithms_for_MachineLearning-master.zip 列表
Algorithms_for_MachineLearning-master/
Algorithms_for_MachineLearning-master/01.K-means Learning/
Algorithms_for_MachineLearning-master/01.K-means Learning/city.jpg
Algorithms_for_MachineLearning-master/01.K-means Learning/kmeans_demo1.m
Algorithms_for_MachineLearning-master/02.KNN Learning/
Algorithms_for_MachineLearning-master/02.KNN Learning/cvEucdist.m
Algorithms_for_MachineLearning-master/02.KNN Learning/cvKnn.m
Algorithms_for_MachineLearning-master/02.KNN Learning/main.m
Algorithms_for_MachineLearning-master/03.Regression Learning/
Algorithms_for_MachineLearning-master/03.Regression Learning/data.mat
Algorithms_for_MachineLearning-master/03.Regression Learning/main.m
Algorithms_for_MachineLearning-master/03.Regression Learning/pls.m
Algorithms_for_MachineLearning-master/03.Regression Learning/plsiscoeff.m
Algorithms_for_MachineLearning-master/03.Regression Learning/plspcr.m
Algorithms_for_MachineLearning-master/03.Regression Learning/plsra.m
Algorithms_for_MachineLearning-master/03.Regression Learning/plsrd.m
Algorithms_for_MachineLearning-master/03.Regression Learning/plsresult.m
Algorithms_for_MachineLearning-master/03.Regression Learning/plsutcor.m
Algorithms_for_MachineLearning-master/03.Regression Learning/stand.m
Algorithms_for_MachineLearning-master/04.Desion Tree Learning/
Algorithms_for_MachineLearning-master/04.Desion Tree Learning/BuildC45Tree.m
Algorithms_for_MachineLearning-master/04.Desion Tree Learning/C45_Results.png
Algorithms_for_MachineLearning-master/04.Desion Tree Learning/ID3_Results.png
Algorithms_for_MachineLearning-master/04.Desion Tree Learning/UseC45Tree.m
Algorithms_for_MachineLearning-master/04.Desion Tree Learning/UseID3Tree.m
Algorithms_for_MachineLearning-master/04.Desion Tree Learning/flower_mask.png
Algorithms_for_MachineLearning-master/04.Desion Tree Learning/flower_test.png
Algorithms_for_MachineLearning-master/04.Desion Tree Learning/main.m
Algorithms_for_MachineLearning-master/05.Random Forest/
Algorithms_for_MachineLearning-master/05.Random Forest/RF.mexw32
Algorithms_for_MachineLearning-master/05.Random Forest/main.m
Algorithms_for_MachineLearning-master/05.Random Forest/runRF.m
Algorithms_for_MachineLearning-master/05.Random Forest/runRF_demo.m
Algorithms_for_MachineLearning-master/05.Random Forest/satimage.tra
Algorithms_for_MachineLearning-master/05.Random Forest/satimage.txt
Algorithms_for_MachineLearning-master/05.Random Forest/srbct.txt
Algorithms_for_MachineLearning-master/05.Random Forest/test_data.txt
Algorithms_for_MachineLearning-master/05.Random Forest/trainData.txt
Algorithms_for_MachineLearning-master/05.Random Forest/train_data.txt
Algorithms_for_MachineLearning-master/06.Bayes Learning/
Algorithms_for_MachineLearning-master/06.Bayes Learning/Bayes.asv
Algorithms_for_MachineLearning-master/06.Bayes Learning/Bayes.m
Algorithms_for_MachineLearning-master/06.Bayes Learning/background.mat
Algorithms_for_MachineLearning-master/06.Bayes Learning/human.mat
Algorithms_for_MachineLearning-master/06.Bayes Learning/randQ.m
Algorithms_for_MachineLearning-master/07.EM Algrithom/
Algorithms_for_MachineLearning-master/07.EM Algrithom/EM_init_kmeans.m
Algorithms_for_MachineLearning-master/07.EM Algrithom/main.m
Algorithms_for_MachineLearning-master/08.Adaboost/
Algorithms_for_MachineLearning-master/08.Adaboost/@crossvalidation/
Algorithms_for_MachineLearning-master/08.Adaboost/@crossvalidation/CatFold.m
Algorithms_for_MachineLearning-master/08.Adaboost/@crossvalidation/GetFold.m
Algorithms_for_MachineLearning-master/08.Adaboost/@crossvalidation/Initialize.m
Algorithms_for_MachineLearning-master/08.Adaboost/@crossvalidation/crossvalidation.m
Algorithms_for_MachineLearning-master/08.Adaboost/@stump_w/
Algorithms_for_MachineLearning-master/08.Adaboost/@stump_w/calc_output.m
Algorithms_for_MachineLearning-master/08.Adaboost/@stump_w/do_learn_nu.m
Algorithms_for_MachineLearning-master/08.Adaboost/@stump_w/get_threshold_and_dim.m
Algorithms_for_MachineLearning-master/08.Adaboost/@stump_w/stump_w.m
Algorithms_for_MachineLearning-master/08.Adaboost/@tree_node_w/
Algorithms_for_MachineLearning-master/08.Adaboost/@tree_node_w/calc_output.m
Algorithms_for_MachineLearning-master/08.Adaboost/@tree_node_w/do_learn_nu.m
Algorithms_for_MachineLearning-master/08.Adaboost/@tree_node_w/get_dim_and_tr.m
Algorithms_for_MachineLearning-master/08.Adaboost/@tree_node_w/train.m
Algorithms_for_MachineLearning-master/08.Adaboost/@tree_node_w/tree_node_w.m
Algorithms_for_MachineLearning-master/08.Adaboost/Classify.m
Algorithms_for_MachineLearning-master/08.Adaboost/RealAdaBoost.m
Algorithms_for_MachineLearning-master/08.Adaboost/TrainAndSave.m
Algorithms_for_MachineLearning-master/08.Adaboost/TranslateToC.m
Algorithms_for_MachineLearning-master/08.Adaboost/ionosphere.txt
Algorithms_for_MachineLearning-master/08.Adaboost/main.m
Algorithms_for_MachineLearning-master/09.SVM Method/
Algorithms_for_MachineLearning-master/09.SVM Method/SVM.m
Algorithms_for_MachineLearning-master/09.SVM Method/kernel.m
Algorithms_for_MachineLearning-master/09.SVM Method/svmSim.m
Algorithms_for_MachineLearning-master/09.SVM Method/s

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