pattern-recogniton

所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:570KB
下载次数:152
上传日期:2014-03-19 22:21:39
上 传 者schin
说明:  对类别不平衡的分类问题的几种算法实现,包括PNN,smote,BP-AdaBoost
(Several algorithms for class imbalance classification problem ,including PNN, smote and BP-AdaBoost)

文件列表:
SMOTE(PNN+Adaboost) (0, 2013-08-30)
SMOTE(PNN+Adaboost)\license.txt (1328, 2012-10-29)
SMOTE(PNN+Adaboost)\SMOTE (0, 2013-08-30)
SMOTE(PNN+Adaboost)\SMOTE.zip (291228, 2013-06-16)
SMOTE(PNN+Adaboost)\SMOTE\bp_adaboost.asv (2976, 2013-06-13)
SMOTE(PNN+Adaboost)\SMOTE\bp_adaboost.m (2872, 2013-06-13)
SMOTE(PNN+Adaboost)\SMOTE\final_features.mat (132927, 2013-06-14)
SMOTE(PNN+Adaboost)\SMOTE\final_mark.mat (280, 2013-06-14)
SMOTE(PNN+Adaboost)\SMOTE\nearestneighbour.m (14158, 2012-10-29)
SMOTE(PNN+Adaboost)\SMOTE\newset.m (102, 2013-06-13)
SMOTE(PNN+Adaboost)\SMOTE\PNN.m (774, 2013-06-14)
SMOTE(PNN+Adaboost)\SMOTE\SMOTE.m (2614, 2012-10-29)
SMOTE(PNN+Adaboost)\SMOTE\testdata.mat (30872, 2013-06-13)
SMOTE(PNN+Adaboost)\SMOTE\traindata.mat (121831, 2013-06-13)

The SMOTE function takes the feature vectors with dimension(r,n) and the target class with dimension(r,1) as the input. And returns final_features vectors with dimension(r',n) and the target class with dimension(r',1) as the output.

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