资源列表
pyspark_process
- 使用pyspark进行文本分类算法实现,其中使用了tf-idf表示-Use pyspark text classification algorithm, which uses the tf-idf representation
DiscriminantFunction
- it s discriminant function in matlab code
dpa
- 2014年12月science新给出的dpa聚类算法的python实现-December 2014 science given new clustering algorithm python achieve dpa
test1
- scikit-learn常用分类器的实例-Examples of commonly used scikit-learn classifier
clustering
- samples about clustering in matlab : K-means algorithm K-medoids algorithm DBSCAN algorithm
emial-spam
- 基于感知器算法的垃圾邮件识别，先通过训练集训练出分类器，然后通过测试集验证-Perceptron based spam detection algorithm
粒子群算法
- 用于营业厅选址优化的粒子群优化算法，包括绘制图形可视。
IG
- 实现计算特征的信息增益，最后一列为样本标签，输出为特征的信息增益值及对应的序列号-Calculated to achieve gain characteristic information, and finally as a sample of tag output information characteristic of the gain value and the sequence number corresponding to
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.
micro_macro_PR
- the code calculate both Fscore micro and macro. Fscore is usedas classifier performance
KPCA算法
- 对高维数据进行特征两提取,提高数据分类速度,可用于故障诊断数据的特征量提取.
knn
- 最简单的机器学习分类方法knn算法的python实现-The easiest method of machine learning classification algorithm python achieve knn