搜索资源列表
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matlab环境中canonical correlation analysis方法的实现源码，已经实验用过的，请放心下载
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pls算法工具箱。偏最小二乘回归≈多元线性回归分析＋典型相关分析＋主成分分析
,pls algorithm toolbox. Partial least-squares regression ≈ multiple linear regression analysis, canonical correlation analysis++ Principal component analysis
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典型相关分析的matlab程序，希望对各位有用-Canonical correlation analysis matlab program you want to be useful
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典型相关分析的Matlab实现，实现相关系数的最大-Canonical Correlation Analysis source program using Matlab
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cancorr的matlab程序。用于信号的典型相关分析。-The matlab program cancorr. For the canonical correlation analysis.
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cancorr的matlab程序（2）.用于信号的典型相关的分析。-cancorr the matlab program (2). the canonical correlation for the signal analysis.
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Canonical Correlation Analysis
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云南降水于印太暖池热通量之间的CCA 典型相关程序-Yunnan Province in the Indo-Pacific warm pool precipitation heat flux canonical correlation between the CCA program
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CCA代码，典型相关分析代码，可用于人脸识别分析-CCA code, canonical correlation analysis code can be used for multimedia
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基于CCA（典型相关分析）的盲源信号分离的matlab代码-Based on CCA (canonical correlation analysis) of the blind source separation matlab code
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本代码是matlab代码，主要是关于典型相关分析方面的，大家可以-This code is a matlab code, mainly on the canonical correlation analysis, we can see
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该程序的主要功能是实现典型相关分析算法。-The program' s main function is to achieve a canonical correlation analysis algorithms
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典型相关分析程序，经过调试程序可以直接运行。-Canonical correlation analysis program, can run through the debugger.
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典型相关分析的源代码 亲手所做 解释详细 -Canonical correlation analysis of the source code is hand-made to explain in detail
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kCCA is hybrid version of kernel classifier and canonical correlation analysis.
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偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身-PLS is a principal component analysis, canonical correlation analysis and multiple linear regression analysis three kinds of analysis method has the advantage in a
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典型相关分析的具体实例，这里主要用matlab来实现的。-Canonical Correlation Analyses is used with matlab.
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CCA calculate canonical correlations
[Wx Wy r] = cca(X,Y) where Wx and Wy contains the canonical correlation
vectors as columns and r is a vector with corresponding canonical
correlations. The correlations are sorted in descending order. X a
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CCABSS - Blind Source Separation by Canonical Correlation Analysis
Y = CCABSS(X) is the BSS of X=A*S where S is a set of unknown source signals
and A is an unknown mixing matrix. The components in S are supposed to
be independent. Y is an es
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典型相关分析cca程序，经过调试程序可以直接运行。-Cca canonical correlation analysis program can be run directly through the debugger.
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