Eigenvectors and eigenvalues

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Eigenvectors and eigenvalues

http://setosa.io/ev/eigenvectors-and-eigenvalues/ Explained Visually Tweet By Victor Powell and Lewis Lehe Eigenvalues/vectors are instrumental to understanding electrical circuits, mechanical systems, ecology and even Google's PageRank algorithm. L…

A Beginner’s Guide to Eigenvectors, PCA, Covariance and Entropy

A Beginner’s Guide to Eigenvectors, PCA, Covariance and Entropy Content: Linear Transformations Principal Component Analysis (PCA) Covariance Matrix Change of Basis Entropy & Information Gain Resources This post introduces eigenvectors and their rela…

<<Numerical Analysis>>笔记

2ed, by Timothy Sauer DEFINITION 1.3A solution is correct within p decimal places if the error is less than 0.5 × 10$^{−p}$ .-P29Bisection Method的优点是计算次数(step)是确定的(interval<精度).后面介绍的算法的interval是不确定的, 所以什么时候结束计算呢?不知道.所以定义“stopping criteria’’来决定什么时候结束…

opencv 61篇

(一)--安装配置.第一个程序标签: imagebuildincludeinputpathcmd 2011-10-21 16:16 41132人阅读评论(50) 收藏举报分类: OpenCV(60) 版权声明:本文为博主原创文章,未经博主允许不得转载. 决心开始研究OpenCV.闲言少叙,sourceforge网站最近的版本是2011年8月的OpenCV2.3.1,下载安装,我这里使用的开发环境是vs2008,网上搜了一下配置的教程,与之前的几个OpenCV版本的配置过程大体相同:(…

A geometric interpretation of the covariance matrix

A geometric interpretation of the covariance matrix Contents [hide] 1 Introduction 2 Eigendecomposition of a covariance matrix 3 Covariance matrix as a linear transformation 4 Conclusion Introduction In this article, we provide an intuitive, geometri…

OpenCV LDA(Linnear Discriminant analysis)类的使用---OpenCV LDA演示样例

1.OpenCV中LDA类的声明 //contrib.hpp class CV_EXPORTS LDA { public: // Initializes a LDA with num_components (default 0) and specifies how // samples are aligned (default dataAsRow=true). LDA(int num_components = 0) : _num_components(num_components) {}; //…

三种方法实现PCA算法（Python）

主成分分析,即Principal Component Analysis(PCA),是多元统计中的重要内容,也广泛应用于机器学习和其它领域.它的主要作用是对高维数据进行降维.PCA把原先的n个特征用数目更少的k个特征取代,新特征是旧特征的线性组合,这些线性组合最大化样本方差,尽量使新的k个特征互不相关.关于PCA的更多介绍,请参考:https://en.wikipedia.org/wiki/Principal_component_analysis. PCA的主要算法如下: 组织数据形式,以便于模型…