资源列表
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
K-MEAN
- k-均值聚类算法的源代码，推荐的大家使用junzhinjuleisuanfa-k-junzhiyuandaima
nn-classification
- Matlab code for classification using neural networks
ProcessData
- 以数据分割为中心进行探讨对数据进行分割，可缩小待访问数据对象的范围或磁盘空间，提高检索性能，把分割后的数据放到不同的磁盘上，提高数据库并行访问的能力-To split the data into the data center to explore split, the data object to be accessed can be reduced scope or disk space to improve the retri performance, the data is divid
Apriori
- 带测试的 apriori 做了优化修改,测试文件和源代码，以及整个工程都在里面-apriori test with optimized modification, testing, documentation and source code, as well as the whole project are inside
Apriori
- Apriori算法是一种最有影响的挖掘布尔关联规则频繁项集的算法。其核心是基于两阶段频集思想的递推算法。- Apriori algorithm is one of the most influential mining Boolean association rules frequent itemsets algorithm. Its core is based on a two-stage frequency set recursive algorithm thought.
GSP
- GSP是基于apriori思想的高效序列模式挖掘算法，不用二次遍历所有序列集。-GSP is based on highly efficient sequential pattern mining algorithm apriori thought, do not traverse all secondary sequence set.
kNN
- 使用python编写kNN算法，包括生成数据集，简单分类器，文本转换等简单算法。-Using python write kNN algorithms, including generating a data set, a simple classification, text conversion simple algorithm.
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
R_Q2
- 先进行逐步回归，后对其残差进行sarima预测-First stepwise regression, after its prediction residuals sarima
08ClusAdvanced-1
- 综合介绍聚类分析的方法，从常用方法到高级方法-Overview cluster analysis, the common method to advanced methods
Bayes
- 本程序是使用的Python写的一个Bayes分类器，通过这个程序可以大致掌握Bayes的原理。-This procedure is used to write a Python Bayes classifier, through this program can be broadly master the principles of Bayes.