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ruanjianxuqiu
- 本书讲述了软件开发中一个至关重要的问题—软件需求问题。软件开发人员及用户往往容易忽略信息沟通，导致软件开发出来后，不能很好地满足用户的需要。而返工则不仅在技术上给开发人员带来巨大的麻烦，而且软件性能深受影响且造成人力、物力的浪费。所以在开发周期早期提高项目需求分析的质量，减少重复劳动，通过控制项目范围的扩展及需求变更来达到按计划完成预定目标是当前我国软件业急需解决的问题—这也是本书讨论的主要内容。 -book on software development as a crucial iss
PCAbase.rar
- 这是PCA主分量分析在matlab中的基本应用，可以理解和学习体会下,This is the principal component analysis PCA in matlab basic applications, and learning experience can be understood under the
svm_face_recognition
- 一篇很不错的关于人脸表情识别的论文。论文提出了一种基于人脸局部特征的表情识别方法，先选取人脸重要的局部特征,对得到的局部特征进行主成分分析,然后用支持向量机( SVM)设计局部特征分类器来确定测试表情图像中局部特征,同时设计支持向量机( SVM)表情分类器,确定表情图像的所属类别。-A very good facial expression recognition on paper. This paper proposes a feature based on local expression
rpca
- Robust principal component analysis for non-centered data
fortran_9095_explained_
- Fortran has always been the principal language used in the fields of scientific, numerical, and engineering programming, and a series of revisions to the standard defining successive versions of the language has progressively enhanced its power
empca
- I present an expectation-maximization (EM) algorithm for principal component analysis (PCA).
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- ：独立成分分析 ( I C A)在国内尚属一门新型的方法 介绍了I C A的原理及其算法 ，然后介绍了该算法在盲源 信号分离中的具体应用，并将此方法 与主成分方洼 ( P C A)进行了比较-: Independent Component Analysis (ICA) in China is a new method to introduce the principle of the ICA and its algorithm, and then introduced the algori
c
- 通过用列主元消去法编写程序，使学生掌握用列主元消去法解线性方程组的思想-Out by using principal component elimination method to write programs so that students master the use of out principal component elimination method solution of the ideological system of linear equations
downloadEx
- Download Execute, principal and executable
An_Optimal_Transformation_for_LDA_and_PCA
- 介绍结合LDA与PCA算法的优化分类方法，提出了一般情况下LDA及PCA的计算方法-An Optimal Transformation for Discriminant and Principal Component Analysis
OFDM
- OFDM principal paper.basic-OFDM principal
PCA
- 提出一种基于主分量分析和相融性度量的快速聚类方法。通过构造主分量空间将高维数据投影到两个主成分上 进行特征提取，每一个主分量都是原始变量的线性组合-Is proposed based on Principal Component Analysis and Measure of blending fast clustering method. Principal component space by constructing a high-dimensional data onto two p
SVMnonlinforASI
- SVM PCA (Principal Component Analysis) algorithm has been widely used in engineering and science research, This report mainly from the PCA and the basic structure of the basic tenets of its research, Conventional PCA algorithm used mainly linear algo
SPSS
- 主成分分析的主要目的是希望用较少的变量去解释原来资料中的大部分变异，将我们手中许多相关性很高的变量转化成彼此相互独立或不相关的变量。通常是选出比原始变量个数少，能解释大部分资料中的变异的几个新变量，即所谓主成分，并用以解释资料的综合性指标。由此可见，主成分分析实际上是一种降维方法。-The main purpose of PCA is to use fewer variables to explain most of the variation of the original data will
principal_components_tutorial
- A tutorial on Principal Components Analysis
principal-of-adaptive-filter
- 自适应滤波器的原理，很基础，但是讲解的很深刻-Adaptive filter theory, it is based, but to explain the very deep
Principal-component-analysis-code
- 在高光谱图像处理和分析中,主成分分析方法是使用最广泛的线性降维 方法之一,它概念简单,实现算法高效"在信号处理中,所谓的Karl血nen.b姆ve 变换实际上就是主成分分析 -In hyperspectral image processing and analysis, principal component analysis is the most widely used linear dimensionality reduction methods, it is conceptu
Principal-component-regression
- 主成分回归分析程序的研究,很具有参考价值，值得看看相信会有用-Research principal component regression analysis program, it is very valuable, it is worth a look I believe will be useful
A-Survey-on-Principal-Aspects-of-Secure-Image-Tra
- A Survey on Principal Aspects of Secure Image Transmission
Principal-Component-Analysis
- Principal Component Analysis(PCA)主成分分析，Matlab实例代码，主成分分析-Principal Component Analysis(PCA)，matlab