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Score: 67
Create time: 2018-11-09 00:40:15

juleisuanfa.rar - 聚类分析算法，将物理或抽象对象的集合分组为由类似的对象组成的多个类的分析过程
eulerstrongandweak.rar - 验证随机微分方程欧拉算法的强收敛和弱收敛性
euler.rar - 随机微分方程的EM算法，利用欧拉方法求解随机微分方程，还包括随机链法则。
PAC.zip - 用于主成分分析，得到主成分及其贡献率和得分，并画出主成分图，聚类分析

chaos.zip - 各种chaos相图和相关时序图，比如logistic等
testing-antivirus-programm.rar - testing of anti-virus software
SPCA_ALM.zip - matlab 代码 实现 spca分解
solver.rar - 解集机制之solver 详情见源代码。辛苦写的
eig_penalty.rar - 特征惩罚算法 对手竞争学习算法 matlab程序源代码哦
SPCA.zip - SPCA The SPCA algorithm for computing sparse principal components.
spca.rar - 稀疏主成分算法函数，内有详细的算法使用说明
SPCA.zip - 一种基于逆幂法的PCA稀疏降维---MATLAB
pca_matlab.rar - PCA MATLAB程序.PCA MATLAB程序PCA MATLAB程序.
SPCA_ALM.rar - 主要是用PCA主矢量分析的方法在稀疏优化的运用，代码简单易懂，适合初学者
ALSPCA.rar - SPCA 主成分分析 数据分析中的必备精品。数学知识哦
LASSOaLARSa-SPCA.rar - Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection
spca.zip - 本程序实现稀疏主成分分析，相关方法在 H. Zou, T. Hastie, and R. Tibshirani的Sparse principal component analysis中有详细介绍

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