资源列表
threecircle
- 人工生成三个同心圆数据，分别用传统谱聚类算法和NJW算法进行分类，都得到很好的效果-Three concentric circles artificially generated data, respectively, with the traditional spectral clustering and classification algorithms NJW, have been very good results
k_means
- k-means聚类算法，该算法已经经过验证，描述了聚类的过程-k-means clustering algorithm, which has been validated, we describe the process of clustering
24567507qpso-svm
- 一个粒子群优化的支持向量机，运行过的，很好用，供初学者参考-A particle swarm optimization support vector machine (SVM), running, useful, reference for beginners
Knn-and-PCA.tar
- good implementation of KNN and PCA for face dataset
dotnetWeka1
- C#和weka的混合编程，主要实现在C#中调用Weka工具包的功能。-Blending Program with C Sharp and weka tool.
project-1-skeleton
- 本压缩包内有决策树，knn，linear的方法（包括10-fold） 替换data可以直接使用。-You can find decision tree, inn and linear method in my zip, include 10-fold. The data.py can replaced by yourself
machine-learning-ex2
- andrew ng机器学习作业-exercise2-Andrew ng-machine learning-exercise
x
- python scikit-learn lshforest的使用-use lshforest
big-data
- 介绍了大数据时代的发展以及大数据与大数据在经济学的应用，还有大数据的安全与隐私保护，网络大数据的现状与展望-It introduced the development of big data and big data era of big data applications and economics, as well as large data security and privacy protection, the current situation and prospect of larg
learn_struct_K2
- 本程序是贝叶斯网络结构学习的K2算法程序，可获取离散变量的贝叶斯网络-This procedure is K2 Bayesian network structure learning algorithm program, available discrete variables Bayesian Network
example_DAGlearn
- 程序是基于图论 , 对后验概率提取参数,使得很好的描述贝叶斯网络中变量之间的依赖关系-Program is based on graph theory, the extraction parameters on the posterior probability of such a good descr iption of the dependencies between variables in a Bayesian network
minimum_spanning_tree
- 本程序是基于最小洗漱树的分类器 可得到分类效果不错的分类器-This procedure is based on a minimum wash tree classifier good classification results obtained classifier