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用于特征降维，特征融合，相关分析等多元数据分析的鉴别型典型相关分析（DCCA）Matlab代码实现。-For feature reduction, feature fusion, multivariate data analysis and correlation analysis based identification of canonical correlation analysis (DCCA) Matlab code implementation.
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用于特征降维人脸识别等多元数据分析的主分量分析投影的Matlab代码实现。-For feature reduction and other multivariate data analysis, face recognition principal component analysis projection of the Matlab code implementation.
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Principal componenet analysis code written in matlab paltform in order to solve multivariate problems like discriminating bological disease states from healty ones.-Principal componenet analysis code written in matlab paltform in order to solve mult
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水果图像的特征提取，毕业设计做的，很实用，只要运行“apple.m”就可以-Multivariate statistical analysis of the source code, written with the basic
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进行多元一次线性回归分析 可用于数据关联计算-A linear regression analysis of multivariate data association can be used to calculate
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多元统计中的对应分析程序，提取因子之后，可对提取的公共因子按最大方差旋转。程序经多组经典数据验证通过。-The corresponding multivariate statistical analysis program, after the extraction of factors, can extract the common factors by maximum variance rotation. Program through multiple data validation th
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基于因子分析和聚类分析的旅游目的地决策分析方法 多元统计分析-Based on factor analysis and cluster analysis of tourist destination decision-making method of multivariate statistical analysis
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PCA
应用于数据矩阵降维，压缩数据！广泛应用于各种行业。
Author:
F. Murtagh- Principal Components Analysis or the Karhunen-Loeve expansion is a
classical method for dimensionality reduction or exploratory data
analysis. One reference among many is: F. Murtagh
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本程序是应用数值分析对线性多元方程组的一种解法……高斯列主元消去法-This procedure is the application of numerical analysis of linear multivariate equations out of a solution ... ... the main element of Gaussian elimination
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聚类分析是多元统计分析的一种，也是无监督模式识别的一个重要分支，在模式分类 图像处理和模糊规则处理等众多领域中获得最广泛的应用。它把一个没有类别标记的样本按照某种准则划分为若干子集，使相似的样本尽可能归于一类，而把不相似的样本划分到不同的类中。硬聚类把每个待识别的对象严格的划分某类中，具有非此即彼的性质，而模糊聚类建立了样本对类别的不确定描述，更能客观的反应客观世界，从而成为聚类分析的主流。-Clustering analysis is a kind of multivariate statis
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通过多元统计的办法对采用的几何最小二乘拟合的结果进行分析-Multivariate statistical approach by using the geometry of least squares fitting analysis of the results
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多元统计分析的matlab程序代码 对于初学者很有用-Multivariate statistical analysis of the matlab code is useful for beginners
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一种分类的新方法，与判别分析相似，但是能够直接寻找到多维方向，并且对数据同时分类-The Extended Canonical Variates Analysis (ECVA) is a new approach to classification. The aim is similar to discriminant analysis but it provides a direct solution to finding multivariate directions that separa
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书以SPSS 12.0 为准，详细介绍了各种多变量统计模型、多元统计分析模型的方法原理和软件实现技术，其内容涵盖了各种有广泛应用、经典或现代的模型和方法。-SPSS 12.0 to subject the book, detailing a variety of multivariate statistical models, multivariate statistical analysis method model theory and software technology, which
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多元统计分析引论，一本很好的高等数理统计的书籍。-Introduction multivariate statistical analysis, a higher number of good books on mathematical statistics.
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function [L,C] = kmeans(X,k)
KMEANS Cluster multivariate data using the k-means++ algorithm.
[L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class
label per column in X and a size(X,1)-by-k matrix C containing the
centers
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多元统计中的聚类分析回归分析， 多元统计中的聚类分析回归分析-The clustering of multivariate statistical analysis of regression analysis
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实现多输入多输出数据的线性降维，实现多元统计分析与回归分析的综合能力。降维效果很好！-Realize multiple input multiple output data linear dimensional reduction, realization of multivariate statistical analysis and regression analysis of the comprehensive ability. Dimension reduction effect is
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多变量回归分析的讲解，数据处理，以及一些研究范例等-Multivariate regression analysis to explain the data processing
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在多变量统计中，数据有很强的相关性，对数据进行主成分分析，这样可以避免过拟合- Multivariate statistical data there is a strong correlation, principal component analysis of the data, and to avoid over-fitting
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