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Principal component analysis of multivariate data analysis projection, Ensure accurate communication is learning a good helper, For beginners with a reference value.
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Multivariate least squares fitting method of nonlinear equations, This program has exceeded the performance of other algorithms, Calculate the multifractal trend fluctuation analysis.
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matlab toolbox
containing GUI for performing analysis of multivariate
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EOF 分析,EOF本身就是多元统计分析中的主分量分析PCA在气象场序列中的应用,多元正态变量X(x1,x2,x3,..,xp)可理解为空间上网格点资料序列,也可理解为任何一组具有不同物理意义的多元正态变量。(EOF itself is the application of principal component analysis PCA in the field of meteorological statistics. Multivariate normal variable X (x1,
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MATLAB与多元统计分析 雷达图 轮廓图的matlab实现 算协方差与均值(MATLAB and multivariate statistical analysis The calculation covariance and mean value of the MATLAB realization of the radar figure)
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多元数据的数值基础分析(五数、方差等)、基础出图(线性拟合、残差图、找变异点)预测,外加基础实际数据处理案例两个(Multivariate data analysis and prediction model)
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多元统计分析,matlab仿真小程序,数学建模比赛常用方法(multivariate statistical analysis)
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在实际课题中,为了全面分析问题,往往提出很多与此有关的变量(或因素),因为每个变量都在不同程度上反映这个课题的某些信息。(PCAPrincipal Component Analysis (PCA) is a multivariate statistical analysis method that selects multiple variables by linear transformation to select fewer variables. It is also called pri
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相似性划分,Q型聚类,是理想的多变量统计技术,主要有分层聚类法和迭代聚类法。 聚类分析也称群分析、点群分析,是研究分类的一种多元统计方法。(Similarity classification and Q clustering are ideal multivariate statistical techniques, including hierarchical clustering and iterative clustering. Cluster analysis, also known a
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3D-MIMO信道模型 仿真代码 可由此建立LTE现今采用的3DMIMO模型(MATLAB simulation program, based on multivariate statistical modeling method of three-dimensional spatial domain 3D MIMO channel. The 2D MIMO channel modeling is extended to three-dimensional spatial domain chan
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多自变量,多因变量,线性回归分析MATLAB程序(Multiple independent variables, multivariate variables, linear regression analysis)
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用于多元图像分析的MIA_Toolbox利用许多特定于图像的功能扩展了已经完善的PLS_Toolbox功能,并且基于PLS_Toolbox界面构建,以简化和直观地分析多元图像。(MIA_Toolbox for Multivariate Image Analysis expands the already comphrehensive PLS_Toolbox functionality with many image-specific functions, and builds on PLS_To
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利用最小二乘法进行拟合多元非线性方程,相关分析过程的matlab方法,通过matlab代码。( Multivariate least squares fitting method of nonlinear equations, Correlation analysis process matlab method, By matlab code.)
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是机器学习的例程,利用最小二乘法进行拟合多元非线性方程,独立成分分析算法降低原始数据噪声。( Machine learning routines, Multivariate least squares fitting method of nonlinear equations, Independent component analysis algorithm reduces the raw data noise.)
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数据回归分析包括一元线性回归,一元非线性回归,多元线性及广义线性回归,多元非线性回归(Data regression analysis including a yuan linear regression, a yuan of nonlinear regression, multiple linear and generalized linear regression and multivariate nonlinear regression)
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MATLAB概率与数理统计分析(第2版)》以概率与数理统计的基本原理为线索,以matlab为辅助条件,分别介绍了概率与数理统计概述、统计估计、假设检验、方差分析、回归分析、正交试验分析、聚类分析、判别分析和多元数据相关分析等内容,理论与实践相结合,向读者演示了matlab在数理统计中的应用。
("MATLAB Probability and Mathematical Statistics Analysis (2nd edition)" is based on the M
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分别介绍了概率与数理统计概述、统计估计、假设检验、方差分析、回归分析、正交试验分析、聚类分析、判别分析和多元数据相关分析等内容,理论与实践相结合,向读者演示了matlab在数理统计中的应用。(It respectively introduces the outline of probability and mathematical statistics, statistical estimation, hypothesis test, variance analysis, regression
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多元统计分析—基于R- 课件ppt,讲解多元统计在R中如何实现,对于多元统计软件入门,是很实用的课程(Multivariate Statistical Analysis-Based on R-language ppt)
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cca典型相关分析的多变量版本mcca,典型的一种盲源分离算法(Multivariate version of canonical correlation analysis)
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在多元统计领域中,核函数主成分分析(kernel principal component analysis, kernel PCA)是利用核函数方法技术对主成分分析(PCA)的扩展。使用核函数使原PCA的线性操作是在一个复制的内核希尔伯特空间中执行的。 KPCA的运算步骤势在PCA之前首先对数据进行kernel变换 ,再求相关系数矩阵。(In the field of multivariate statistics, kernel principal component analysis (ke
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