资源列表
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
UCI
- 机器学习常用的35个UCI数据集，包括iris、lenses、mushroom、pima indians、wine等。-Machine learning UCI common data set 35, including iris, lenses, mushroom, pima indians, wine and the like.
ID3算法
- d3算法源程序。使用的方法是编写一个*.dat文件保存样本数据，还有一个*.tag文件保存属性列名，且最后一个属性是标号属性。运行是输入id3 文件名。
贝叶斯网工具箱
- 贝叶斯网的工具箱，很实用，可以直接运行。(Bayesian network toolbox, very practical, you can run directly.)
NBC
- 朴素贝叶斯模型，用来做大数据的分类，是一种很简单易上手的模型，代码很简单，有例子。(Naive Bayes model is used to enlarge the classification of data)
Tensor-Factorization-HOSVD-iterative-master
- hosvd 迭代分解,很好用，是一个硕士论文里的代码(terative HOSVD algorithm to decompose tensor and find its Singular factors in each mode.)
ConfusionMatrices
- 基于matlab的混淆矩阵算法，内含具体实例，可作出混淆矩阵相关图。
LARS算法
- 包括LARS的经典文章和实现代码（MATLAB）(Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include lasso (Least Absolute Shrinkage and Selection Operat