资源列表
xgboost
- xgboost算法源码，含基本示例（训练、建模、预测）。-Xgboost algorithm source code, including the basic examples (training, modeling, forecasting).
fenciledebeiyesi
- 中文文本分词系统+基于贝叶斯算法的文本分类源码，用matlab实现。-Chinese word segmentation system+ based on Bayes text classification source code, using matlab implementation.
python-fp-growth-master
- source code for fp_grouth algorithm by paython
Cluster
- 机器学习和数据挖掘中常用的K-means聚类算法，包含两个文件，kmeans.py是Python实现代码，bank-data.csv是测试数据-Machine learning and data mining commonly used K-means clustering algorithm contains two files, kmeans.py is a Python implementation code, bank-data.csv test data
SILPMKL
- 用于回归的多核学习之MKL-wrapper算法程序，编写语言为python，运行环境为linux。-For multi-core the MKL- wrapper of learning algorithm of regression procedure, is the written language python, running environment for Linux.
lasso
- 使用lasso方法，对特征矩阵进行优化特征选择（向量选择），使其达到最优。-Use lasso method, optimize the characteristic matrix feature selection (vector selection), to the optimal.
C4.5
- C4.5算法的matlab实现，里面有标准数据集作为实例进行演示-C4.5 algorithm matlab implementation, which has a standard data set as an example to demonstrate
svm
- 运用支持向量机对一组超宽带非视距信号识别-Support Vector Machine Signal Identification
OPTICS
- 此为利用optics聚类方法剔除风电异常数据后，采用极限学习机验证的代码-optics data mining
backprop
- 应用深度学习方法，挖掘数据在更深层次上的特征-Application of deep learning method, digging deeper level characteristic data
EM
- 用matlab实现了EM算法，代码简单明了，有详细的注释．可供初学者学习使用。-Using matlab realize the EM algorithm.
CF
- Python实现协同过滤算法，即Collaborative Filtering(CF)，数据集为MovieLens电影推荐和书籍推荐数据集-Python implementation of collaborative filtering algorithm, namely Collaborative Filtering (CF), the data set is recommended MovieLens movie and book recommendations datasets