├── PCA 与LDA.py ├── README.md ├── mapreduce .py ├── 二值化.py ├── 二元变量的相似度计算.py ├── 互信息法.py ├── 区间缩放.py ├── 单变量选择.py ├── 卡方检验.py ├── 基于惩罚项的特征选择法.py ├── 基于树模型的特征选择法.py ├── 对缺省值的处理.py ├── 归一化.py ├── 数据变换.py ├── 数据标准化.py ├── 数据预处理与特征选择.py ├── 方差判别特征相似程度.py ├── 最大互信息系统.py ├── 特征提取.py ├── 特征的相关系数法.py ├── 皮尔逊相关系数.py └── 距离相关系数.py /PCA 与LDA.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chenglu66/data-analysis/HEAD/PCA 与LDA.py -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # data-analysis 2 | 基于自构造函数的特征提取评分项目（缺失值处理，单变量相关性分析，特征评分，降维） 3 | -------------------------------------------------------------------------------- /mapreduce .py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chenglu66/data-analysis/HEAD/mapreduce .py 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