资源列表
svm_python
- 在机器学习领域，支持向量机SVM(Support Vector Machine)是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。本程序是SVM的python实现，用的是SMO算法。只能进行分类，并且能够显示图形结果。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually use
svm
- 最经典的机器学习方法svm分类器的python实现-The most classic machine learning svm classifier python realization
KNN
- KNN近邻算法分类程序,包含训练数据和测试数据.-KNN classification procedures, including training and testing data.
CUSUM
- CUSUM算法程序,使用CUSUM方法检测残差的跳变.-CUSUM algorithm, the use of CUSUM method for detecting residual transition.
Python-ELM-master
- 经典的ELM算法，适合做小样本回归预测，亲测有用，亲测有效-The classical ELM algorithm, suitable for small sample regression, pro test useful, pro test effective
SSC_ADMM_V3.a
- 最新的聚类算法，很好地解决混沌流形问题。-The latest clustering algorithm, a very good solution to the problem of chaotic manifold.
decision-making-tree
- 决策树的Python代码实现，要所报内含原数据-Decision Tree Python code, containing the original data to be reported
BNT_SLP.tar
- Learning methods for Bayesian Networks and statistical tools
decisionTree
- 一个决策树的java实现版本，用于实现对离散和连续问题两种问题- Java implementation of a decision tree version, for the realization of discrete and continuous problems of two kinds of problems
spearman
- spearman秩相关系数计算代码，fortran90编写，用于判断数列发展趋势-speaerman rank coefficent code by fortran 90
logRegres
- Logistic回归主要目的是寻找一个非线性sigmoid的最佳拟合参数，采用梯度上升算法可以达到局部的最优化-The main purpose of Logistic regression is to find the best fitting parameters of a nonlinear sigmoid, and the gradient ascent algorithm can be used to achieve the local optimization.
dpc
- 这是2014年在自然杂志上发表的密度峰聚类的代码-This is 2014 in Nature magazine published the density peak clustering code