通过svm cnn knn对高光谱数据集PaviaU进行分类（matlab）

[{"title":"（ 35 个子文件 35.42MB ） 通过svm cnn knn对高光谱数据集PaviaU进行分类（matlab）","children":[{"title":"ZKL_classifier_final","children":[{"title":"train_y.mat <span style='color:#111;'> 428B </span>","children":null,"spread":false},{"title":"getpixel.m <span style='color:#111;'> 613B </span>","children":null,"spread":false},{"title":"cnnsetup.m <span style='color:#111;'> 2.51KB </span>","children":null,"spread":false},{"title":"knn_hughes_test.m <span style='color:#111;'> 2.11KB </span>","children":null,"spread":false},{"title":"train_x.mat <span style='color:#111;'> 1.21MB </span>","children":null,"spread":false},{"title":"main_cnn_untrain.m <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"trainednet.mat <span style='color:#111;'> 771.46KB </span>","children":null,"spread":false},{"title":"flipall.m <span style='color:#111;'> 86B </span>","children":null,"spread":false},{"title":"cnn_start.m <span style='color:#111;'> 1.15KB </span>","children":null,"spread":false},{"title":"cnnapplygrads.m <span style='color:#111;'> 640B </span>","children":null,"spread":false},{"title":"cnntest.m <span style='color:#111;'> 193B </span>","children":null,"spread":false},{"title":"cnnbp.m <span style='color:#111;'> 2.10KB </span>","children":null,"spread":false},{"title":"cnntrain.m <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"lda.m <span style='color:#111;'> 2.98KB </span>","children":null,"spread":false},{"title":"cnn_test.m <span style='color:#111;'> 2.50KB </span>","children":null,"spread":false},{"title":"程序说明.txt <span style='color:#111;'> 401B </span>","children":null,"spread":false},{"title":"sigm.m <span style='color:#111;'> 54B </span>","children":null,"spread":false},{"title":"data_undone.m <span style='color:#111;'> 137B </span>","children":null,"spread":false},{"title":"kpcaFordata.m <span style='color:#111;'> 3.02KB </span>","children":null,"spread":false},{"title":"test_y.mat <span style='color:#111;'> 250B </span>","children":null,"spread":false},{"title":"PaviaU.mat <span style='color:#111;'> 33.19MB </span>","children":null,"spread":false},{"title":"test_x.mat <span style='color:#111;'> 249.34KB </span>","children":null,"spread":false},{"title":"data_pca_done.m <span style='color:#111;'> 686B </span>","children":null,"spread":false},{"title":"cnnff.m <span style='color:#111;'> 2.44KB </span>","children":null,"spread":false},{"title":"lda_test.m <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false},{"title":"knn_test.m <span style='color:#111;'> 2.11KB </span>","children":null,"spread":false},{"title":"cnnnumgradcheck.m <span style='color:#111;'> 3.35KB </span>","children":null,"spread":false},{"title":"PCA2.m <span style='color:#111;'> 2.33KB </span>","children":null,"spread":false},{"title":"PaviaU_gt.mat <span style='color:#111;'> 10.75KB </span>","children":null,"spread":false},{"title":"KNN.m <span style='color:#111;'> 1.11KB </span>","children":null,"spread":false},{"title":"main_final.m <span style='color:#111;'> 7.32KB </span>","children":null,"spread":false},{"title":"pca_test.m <span style='color:#111;'> 3.34KB </span>","children":null,"spread":false},{"title":"expand.m <span style='color:#111;'> 1.96KB </span>","children":null,"spread":false},{"title":"kpca_test.m <span style='color:#111;'> 1.98KB </span>","children":null,"spread":false},{"title":"data_lda_done.m <span style='color:#111;'> 417B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]