[{"title":"( 32 个子文件 85KB ) 主成分回归代码matlab及例子-machine-learning-r:R中的机器学习","children":[{"title":"machine-learning-r-master","children":[{"title":"SupportVectorMachine","children":[{"title":"svm_data.R <span style='color:#111;'> 713B </span>","children":null,"spread":false},{"title":"svm.R <span style='color:#111;'> 11.04KB </span>","children":null,"spread":false},{"title":"smo.R <span style='color:#111;'> 33.47KB </span>","children":null,"spread":false},{"title":"svcplot.R <span style='color:#111;'> 4.84KB </span>","children":null,"spread":false},{"title":"sampleX.txt <span style='color:#111;'> 14.98KB </span>","children":null,"spread":false},{"title":"sampleY.txt <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false}],"spread":true},{"title":"AnomalyDetection","children":[{"title":"AnomalyDetection.R <span style='color:#111;'> 2.43KB </span>","children":null,"spread":false}],"spread":true},{"title":"Miscellaneous","children":[{"title":"misc.R <span style='color:#111;'> 598B </span>","children":null,"spread":false}],"spread":true},{"title":"Regression","children":[{"title":"sampleTheta.txt <span style='color:#111;'> 4B </span>","children":null,"spread":false},{"title":"logistic_regression_sampleX.txt <span style='color:#111;'> 56.15KB </span>","children":null,"spread":false},{"title":"logistic_regression_sampleTheta.txt <span style='color:#111;'> 56B </span>","children":null,"spread":false},{"title":"sampleX.txt <span style='color:#111;'> 674B </span>","children":null,"spread":false},{"title":"regression.R <span style='color:#111;'> 11.28KB </span>","children":null,"spread":false},{"title":"sampleY.txt <span style='color:#111;'> 685B </span>","children":null,"spread":false},{"title":"logistic_regression_sampleY.txt <span style='color:#111;'> 236B </span>","children":null,"spread":false}],"spread":true},{"title":"Classification","children":[{"title":"classifiers.R <span style='color:#111;'> 4.33KB </span>","children":null,"spread":false},{"title":"sample_perceptronW.txt <span style='color:#111;'> 9B </span>","children":null,"spread":false},{"title":"sample_perceptronX.txt <span style='color:#111;'> 7.09KB </span>","children":null,"spread":false},{"title":"sample_perceptronY.txt <span style='color:#111;'> 500B </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"Features","children":[{"title":"FeatureNormalization.R <span style='color:#111;'> 545B </span>","children":null,"spread":false}],"spread":true},{"title":"PrincipalComponentAnalysis","children":[{"title":"pca.R <span style='color:#111;'> 1.72KB </span>","children":null,"spread":false}],"spread":true},{"title":".gitignore <span style='color:#111;'> 284B </span>","children":null,"spread":false},{"title":"CollaborativeFiltering","children":[{"title":"CollaborativeFiltering.R <span style='color:#111;'> 3.10KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 3.84KB </span>","children":null,"spread":false},{"title":"Clustering","children":[{"title":"sampleX.txt <span style='color:#111;'> 9.97KB </span>","children":null,"spread":false},{"title":"clustering.R <span style='color:#111;'> 13.68KB </span>","children":null,"spread":false},{"title":"kmeans.R <span style='color:#111;'> 2.74KB </span>","children":null,"spread":false}],"spread":true},{"title":"NeuralNetwork","children":[{"title":"AdvancedNeuralNetwork.R <span style='color:#111;'> 12.03KB </span>","children":null,"spread":false},{"title":"nnet_conv.R <span style='color:#111;'> 4.17KB </span>","children":null,"spread":false},{"title":"DeepNeuralNetwork.R <span style='color:#111;'> 12.14KB </span>","children":null,"spread":false},{"title":"fmincg.R <span style='color:#111;'> 8.09KB </span>","children":null,"spread":false}],"spread":true}],"spread":false}],"spread":true}]