搜索资源列表
CSNN
- This package contains 6 algorithms for training cost-sensitive neural networks. They are over-sampling, under-sampling, threshold-moving, SMOTE and two ensemble methods, i.e. hard-ensemble and soft-ensemble.
CSNN
- 这个包包含6个代价敏感神经网络训练算法。-This package contains 6 algorithms for training cost-sensitive neural networks. They are over-sampling, under-sampling, threshold-moving, SMOTE and two ensemble methods, i.e. hard-ensemble and soft-ensemble.
SMOTE
- matlab的smote算法，可以用于分类时样本数据不平衡的问题-matlab smote algorithm, can be used to sample data classification problem of unbalanced
SMOTEBoost
- 分类非平衡数据的SMOTEboost算法-This code implements SMOTEBoost. SMOTEBoost is an algorithm to handle class imbalance problem in data with discrete class labels. It uses a combination of SMOTE and the standard boosting procedure AdaBoost to better model t
pattern-recogniton
- 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
SMOTE
- SMOTE algorithm code
SMOTE
- 本工具为不平衡数据分类领域重要的过采样算法SMOTE.-This tool is an important field of unbalanced data classification oversampling algorithm SMOTE.
SMOTE
- Python语言实现针对不平衡分类的SMOTE升采样算法，并通过SVM实现分类(We implements the SMOTE over-sampling algorithm via Python language for unbalanced classification, and achieves the classification of Glass data through SVM algorithm.)
SMOTE
- SMOTE过采样算法的matlab代码，，，(SMOTE algorithm on matlab platform)
SMOTE
- 针对非平衡数据集中少数类数据过少的问题进行过采样，SMOTE算法采用人工合成稀有类的方法将非平衡数据变为平衡数据之后在用于数据挖掘(Over sampling techniques for minority data)
Random_Forest
- 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
MATLAB_SMOTE
- SMOTE插值算法，补全数据的不平衡性。(SMOTE interpolation algorithm to complete the imbalance of data.)
smote
- smote过采样方法对不平衡数据集进行人工数据合成(smote oversampling and classification)