资源列表
Adaboost
- 用于分类，二类甚至多类。AdaBoost是Boosting的提升，功能非常的显著-For classification, Class II even more. Boosting AdaBoost is lift, which is very significant
cPP-isodata
- ISODATA聚类算法，显示聚类中心及每个类别的样本点-ISODATA clustering algorithm, cluster center display sample point and each category
cesn
- 社工数据解密器。分析器 -Social data descrambler. Analyzer social data descrambler. Analyzer
user-based
- 使用的数据集是BX-CSV-Dump，基于用户的协同过滤，有详细代码注释-英语 Data sets used are BX-CSV-Dump, user-based collaborative filtering, a detailed code comments
project-electre
- an electre source code
SVM_regression_1001
- 一种可以择优选择参数的SVM拟合回归程序，通过for循环，可以调节参数，调出误差最小的参数设置。有时候，默认的参数也会有很不错的精度。-One can choose the best parameters of the SVM fitting regression procedures, through the for cycle, you can adjust the parameters, minimize the error of the parameter settings. Somet
wrappers
- 文档中是有关于数据挖掘中的wrapper特征选择法（sequential feature selection）的详细资料。-The document is about the wrapper feature selection method (aka sequential feature selection).
ComDetTBv090
- ComDetTBv090社团发现,Matlab源码-ComDetTBv090 club, found that the Matlab source code
KraskovMI
- k近邻互信息估计源代码,简单易用，可用于估计多维互信息 -kNN mutual information estimator by Kraskov
K-Means
- matlab kmeans 程序说明与数据源代码-matlab kmeans source
Kaggle_Titanic-master
- 利用逻辑回归解决Kaggle泰坦尼克之灾 -Logistic regression to solve Kaggle Titanic disaster python code
svm
- 支持向量机python实现算法，回归、分类、预测-surpport vector machion