Search - Multivariate Data Analysis

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【Algorithm】 dosc DL : 0: 直接正交信号校正主要用于光谱数据的校正，以及用于多变量分析的预测。-This algorithm is mainly used for the correction of spectral data using direct orthogonal signal correction method, as well as for multivariate analysis
Update : 2024-05-07 Size : 1820672 Publisher : 陈小景
【Other】 MATLAB-statistics DL : 0: 利用MATLAB制作统计报告或报表；从文件中读取数据到MATLAB；从MATLAB中导出数据到文件；数据的平滑处理、标准化变换和极差归一化变换；生成一元和多元分布随机数；蒙特卡洛方法；参数估计与假设检验；Copula理论及应用实例；方差分析；基于回归分析的数据拟合；聚类分析；判别分析；主成分分析；因子分析；图像处理中的统计应用等。 -Making statistical reports or reports by MATLAB to read data from the file to the MATLAB derived from the data to a file in MATLAB data smooth processing, standardization transformation and range normalization transformation generation of univariate and multivariate distribution random number Monte Carlo method parameter estimation and hypothesis testing Copula theory and examples of application analysis of variance data fitting based on regression analysis cluster analysis discriminant analysis principal components analysis factor analysis image processing in the application of statistics.
Update : 2024-05-07 Size : 17710080 Publisher : yaonan
【matlab】 Matlabfiles DL : 0: MATLAB uses column-oriented analysis for multivariate statistical data. Each column in a data set represents a variable and each row an observation.
Update : 2024-05-07 Size : 5120 Publisher : said
【Special Effects】 imm3620 DL : 0: 多元变化检测（MAD）、最大自相关因子（MAF）、典型相关分析（CCA）、主成份分析（PCA）的Matlab代码-Matlab code to perform multivariate alteration detection (MAD) analysis, maximum autocorrelation factor (MAF) analysis, canonical correlation analysis (CCA) and principal component analysis (PCA) on multivariate image data
Update : 2024-05-07 Size : 8192 Publisher : 郝荣欣
【matlab】 g DL : 0: 主元分析法(PCA)是目前基于多元统计过程控制的故障诊断技术的核心，是基于原始数据空间，通过构造一组新的潜隐变量来降低原始数据空间的维数，再从新的映射空间抽取主要变化信息，提取统计特征，从而构成对原始数据空间特性的理解。-Principal component analysis (PCA) is based fault diagnosis technique multivariate statistical process control at the core of the current, it is based on the original data space, by constructing a new set of latent variables to reduce the dimension of the original data space, and then re-mapping space the main change in information extraction, feature extraction statistics, which constitutes the raw data to understand spatial characteristics.
Update : 2024-05-07 Size : 1024 Publisher : 贾佳
【AI-NN-PR】 pca DL : 0: pca主成分分析，在多变量选择上效果较好，对数据的主成分进行分析，常用于分类、聚类、实验数据处理-Pca principal component analysis in multivariate selection effect is good, principal component analysis of data, often used in classification, clustering, experimental data processing
Update : 2024-05-07 Size : 3072 Publisher : my
【Industry research】 material-of-book DL : 0: Independent component analysis (ICA) is a method for finding underlying factors or components multivariate (multidimensional) statistical data. What distinguishes ICA other methods is that it looks for components that are both statistically independent, and nongaussian. Here we briefly introduce the basic concepts, applications, and estimation principles of ICA.-Independent component analysis (ICA) is a method for finding underlying factors or components multivariate (multidimensional) statistical data. What distinguishes ICA other methods is that it looks for components that are both statistically independent, and nongaussian. Here we briefly introduce the basic concepts, applications, and estimation principles of ICA.
Update : 2024-05-07 Size : 8414208 Publisher : ali
【AI-NN-PR】 mvgc_v1.0 DL : 0: 该MVGC工具箱的设计与应用于神经科学实证数据，是一个多变量格兰杰因果分析的新方法。-The MVGC toolbox has been designed with application to empirical neuroscience data in mind，which is a new method for multivariate Granger causality analysis.
Update : 2024-05-07 Size : 995328 Publisher : 冯浪
【matlab】 kengmen_v75 DL : 1: 利用最小二乘法进行拟合多元非线性方程，内含心电信号数据及运用MATLAB写的源代码，光纤陀螺输出误差的allan方差分析。- Multivariate least squares fitting method of nonlinear equations, ECG data and includes source code written in MATLAB, allan FOG output error variance analysis.
Update : 2024-05-07 Size : 7168 Publisher : gunlanbingfao
【matlab】 gunfei_v85 DL : 0: 该函数用来计算任意函数的一阶偏导数(数值方法),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。- This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), Multivariate least squares fitting method of nonlinear equations, Independent component analysis algorithm reduces the raw data noise.
Update : 2024-05-07 Size : 6144 Publisher : jiupingfaiking
【Other】 bunfui DL : 0: 借鉴了主成分分析算法（PCA），利用最小二乘法进行拟合多元非线性方程，matlab程序运行时导入数据文件作为输入参数。- It draws on principal component analysis algorithm (PCA), Multivariate least squares fitting method of nonlinear equations, Import data files as input parameters matlab program is running.
Update : 2024-05-07 Size : 5120 Publisher : 张根
【Other】 mun_gc34 DL : 0: 独立成分分析算法降低原始数据噪声，课程设计时编写的matlab程序代码，利用最小二乘法进行拟合多元非线性方程。- Independent component analysis algorithm reduces the raw data noise, Course designed to prepare the matlab program code, Multivariate least squares fitting method of nonlinear equations.
Update : 2024-05-07 Size : 4096 Publisher : 王崇政
【DSP program】 gqxfe DL : 0: Independent component analysis algorithm reduces the raw data noise, GSM is GMSK modulation signal generation, Multivariate least squares fitting method of nonlinear equations.
Update : 2024-05-07 Size : 6144 Publisher : qunmuibeng
【Other】 eof试试 DL : 0: 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, X2, X3,..., XP) can be understood as spatial grid data sequence, and it can also be understood as any group of multivariate normal variables with different physical meanings.)
Update : 2024-05-07 Size : 3072 Publisher : 素酥素
【Algorithm】 han-qx80 DL : 0: 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.)
Update : 2024-05-07 Size : 6144 Publisher : banjuntiehie
【matlab】 regression-fitting DL : 0: 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)
Update : 2024-05-07 Size : 736256 Publisher : 王鑫
【matlab】核函数主成分分析KPCA DL : 0: 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 (kernel PCA) is an extension of principal component analysis (PCA) using kernel function technology. The linear operation of the original PCA is performed in a replicated kernel Hilbert space using a kernel function. The operation step potential of KPCA is to transform the data into kernels before PCA, and then calculate the correlation coefficient matrix.)
Update : 2024-05-07 Size : 1024 Publisher : Jerk_zhu
【Energy industry】 spectral_mva DL : 1: 光谱处理软件，可用于紫外，红外，及XPS光谱分析(SPECTRAL_MVA is a GUI for running Multivariate analysis of spectroscopic data Initially designed for analysis of X-ray Photoelectron spectra, can be used for analysis of any type of data tables, containing spectra or any other data Opens MAT files with or without a variable X. Opens VMS files (XPS spectra) either from original vision software or CASAXPS software Preprocessing options of SMOOTHING, NORMALIZING, DERIVATIZING and SHIFTING spectra Three MVA methods - PCA, SIMPLISMA and MCR PLS_TOOLBOX from Eigenvector is a must)
Update : 2024-05-07 Size : 55296 Publisher : guangguangaichiyu

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