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matlab
- 用于SVM实现不同算法对不同数据集性能测试的MATLAB代码，包括离线，在线算法。-SVM implement different algorithms for different data sets to performance testing MATLAB code, including offline and online algorithms.
my_apriori
- 该程序使用matlab，实现了经典的Apriori 算法，挖掘频繁项集。-The program uses matlab, realizing the classic Apriori algorithm for mining frequent item sets.
perceptron
- 使用matlab编写的感知机算法，并提供测试数据集，方便测试-Using matlab prepared Perceptron algorithms and provide test data sets, to facilitate testing
Sphere-Cover-Classifier-master
- 用matlab编程实现随机球覆盖集成分类器算法，首先在UCI数据集上得到很好的结果，然后在6个基因表达数据集通过一个案例说明。-Implement random ball cover integrated classifier algorithm using matlab programming, first get good results on UCI data set, and then in six gene expression data sets through a case des
Kmodes
- K-modes算法的matlab实现，输入数据集，输出聚类类标号。-The Matlab program of K-modes algorithm
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
基于粗糙集信息系统约简的算法matlab实现
- 基于粗糙集信息系统的算法matlabd的实现(Implementation of algorithm matlabd based on rough set information system)
kasterenDataset
- 主要针对行为识别，常用数据处理方法及分类，可视化 包含数据集(Mainly for behavior recognition, commonly used data processing methods and classification, visualization Contain data sets)