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文件名称:MachineLearning-master

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机器学习算法,包括knn等,K最近邻(kNN,k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一。(machine learning algorithm)
相关搜索: 人工智能

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下载文件列表

MachineLearning-master
MachineLearning-master\Adaboost
MachineLearning-master\Adaboost\README.md
MachineLearning-master\Adaboost\adaboost.py
MachineLearning-master\Adaboost\testAdaboost.py
MachineLearning-master\Decision-Tree
MachineLearning-master\Decision-Tree\README.md
MachineLearning-master\Decision-Tree\TestTree.py
MachineLearning-master\Decision-Tree\Tree.py
MachineLearning-master\DeepLearning
MachineLearning-master\DeepLearning\CNN_cifar-10
MachineLearning-master\DeepLearning\CNN_cifar-10\cifar.py
MachineLearning-master\DeepLearning\CNN_mnist
MachineLearning-master\DeepLearning\CNN_mnist\cnn.py
MachineLearning-master\DeepLearning\CNN_mnist\data.py
MachineLearning-master\DeepLearning\CNN_mnist\trainCNN.py
MachineLearning-master\DeepLearning\UFLDL
MachineLearning-master\DeepLearning\UFLDL\Vectorization_sparseae_exercise
MachineLearning-master\DeepLearning\UFLDL\Vectorization_sparseae_exercise\checkNumericalGradient.m
MachineLearning-master\DeepLearning\UFLDL\Vectorization_sparseae_exercise\computeNumericalGradient.m
MachineLearning-master\DeepLearning\UFLDL\Vectorization_sparseae_exercise\display_network.m
MachineLearning-master\DeepLearning\UFLDL\Vectorization_sparseae_exercise\initializeParameters.m
MachineLearning-master\DeepLearning\UFLDL\stl_exercise
MachineLearning-master\DeepLearning\UFLDL\stl_exercise\display_network.m
MachineLearning-master\DeepLearning\UFLDL\stl_exercise\feedForwardAutoencoder.m
MachineLearning-master\DeepLearning\UFLDL\stl_exercise\initializeParameters.m
MachineLearning-master\DeepLearning\UFLDL\stl_exercise\loadMNISTImages.m
MachineLearning-master\DeepLearning\UFLDL\stl_exercise\loadMNISTLabels.m
MachineLearning-master\DeepLearning\UFLDL\stl_exercise\softmaxCost.m
MachineLearning-master\DeepLearning\UFLDL\stl_exercise\softmaxPredict.m
MachineLearning-master\DeepLearning\UFLDL\stl_exercise\softmaxTrain.m
MachineLearning-master\DeepLearning\UFLDL\stl_exercise\sparseAutoencoderCost.m
MachineLearning-master\DeepLearning\UFLDL\stl_exercise\stlExercise.m
MachineLearning-master\GMM
MachineLearning-master\GMM\README.md
MachineLearning-master\GMM\gmm.m
MachineLearning-master\GMM\gmm.py
MachineLearning-master\GMM\testGMM.m
MachineLearning-master\GMM\testSet.txt
MachineLearning-master\KNN
MachineLearning-master\KNN\KNN.m
MachineLearning-master\KNN\KNN.py
MachineLearning-master\KNN\KNNdatgingTest.m
MachineLearning-master\KNN\README.md
MachineLearning-master\KNN\datingTestSet2.txt
MachineLearning-master\KNN\handWritingTest.m
MachineLearning-master\Kmeans
MachineLearning-master\Kmeans\README.md
MachineLearning-master\Kmeans\distEclud.m
MachineLearning-master\Kmeans\kMeans.m
MachineLearning-master\Kmeans\testSet.txt
MachineLearning-master\Kmeans\testkMeans.m
MachineLearning-master\Logistic-regression
MachineLearning-master\Logistic-regression\ImproveStocGradAscent.m
MachineLearning-master\Logistic-regression\README.md
MachineLearning-master\Logistic-regression\gradAscent.m
MachineLearning-master\Logistic-regression\stocGradAscent.m
MachineLearning-master\Logistic-regression\testSet.txt
MachineLearning-master\MLP
MachineLearning-master\MLP\dualperceptron.py
MachineLearning-master\MLP\perceptron.py
MachineLearning-master\MLP\testSet.txt
MachineLearning-master\PCA
MachineLearning-master\PCA\PCA.m
MachineLearning-master\PCA\README.md
MachineLearning-master\PCA\testPCA.m
MachineLearning-master\PCA\testSet.txt
MachineLearning-master\README.md
MachineLearning-master\bikMeans
MachineLearning-master\bikMeans\README.md
MachineLearning-master\bikMeans\bikMeans.m
MachineLearning-master\bikMeans\testSet.txt
MachineLearning-master\kalmanFilter
MachineLearning-master\kalmanFilter\KF.m
MachineLearning-master\kalmanFilter\kalmanFiltering.m

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