资源列表
Social-Networks-PPT-a-R
- 主要内容为R语言环境下的社交网络数据挖掘，附有源代码和数据，并包含案例所使用的PPT和相关文献。-The main content is under R locales social network data mining, with the source code and data, and includes cases PPT and related documentation used.
DMC_Lasso-sum
- 该资料为中国人民大学DMC讨论小组关于lasso的学习分享材料及相应的ppt讲解，对于自学lasso的同学帮助很大。-The data for the Renmin University of China DMC discussion group on lasso learning materials and the corresponding share ppt explain, for self-study students lasso great help.
dimensionality-reduction-and-k-means
- 1.使用k-svd对数据进行稀疏表示，降维 2.使用k-means对上述数据聚类-1.use k-svd to reduce the dimensions of data 2.clster the data by k-means
QRS-wave-group-detect
- 用连续小波对信号进行多尺度变换，选择合适的小波系数，采用模极大值检测RQS波群。-Using continuous wavelet multi-scale transform of signal, the appropriate wavelet coefficients, using modulus maxima detection RQS wave group.
GP
- guassian process for classification and regression
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).