文件名称:Random_Forest
介绍说明--下载内容均来自于网络,请自行研究使用
内涵PCA降维;SMOTE插值;t-SNE降维等算法的随机森林算法,以及鸢尾花数据集,有利于新手或者工程性实验借鉴~(Connotative PCA dimensionality reduction; SMOTE interpolation; t-SNE dimensionality reduction algorithms such as random forest algorithm, as well as iris data sets, is conducive to novice or engineering experiment reference ~)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
Test_code\d2p.m | 3155 | 2018-08-16 |
Test_code\data_sample.m | 460 | 2018-08-15 |
Test_code\data_test_Geo.mat | 846365 | 2018-08-16 |
Test_code\data_test_Iris.mat | 16804 | 2018-08-16 |
Test_code\desicion_tree.m | 458 | 2018-08-15 |
Test_code\expand_dataset.m | 549 | 2018-08-16 |
Test_code\fetch_data.m | 187 | 2018-08-15 |
Test_code\Iris_dataset.xlsx | 13145 | 2018-08-15 |
Test_code\LDA_reduction.m | 2801 | 2018-08-17 |
Test_code\prediction.m | 224 | 2018-08-15 |
Test_code\pre_process.m | 549 | 2018-08-17 |
Test_code\random_forest.m | 3352 | 2018-08-16 |
Test_code\score.m | 338 | 2018-08-15 |
Test_code\SMOTE.m | 1213 | 2018-08-15 |
Test_code\tsne.m | 2903 | 2018-08-16 |
Test_code\tsne_d.m | 1858 | 2018-08-16 |
Test_code\tsne_p.m | 4577 | 2018-08-16 |
Test_code\Tsne_script.m | 689 | 2018-08-17 |
Test_code\visual.m | 698 | 2018-08-15 |
Test_code\vote.m | 567 | 2018-08-15 |
Test_code\x2p.m | 3297 | 2018-08-16 |
Test_code | 0 | 2018-08-20 |