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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The CCA-fMRI Toolbox implements the use of canonical correlation analysis (CCA)
for detecting brain activity patterns recorded by functional magnetic resonance
imaging (fMRI).
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Canonical Correlation Analysis
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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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SAS软件资料以及用SAS软件实现数据分析包括典型相关分析，判别分析和聚类分析等等，有具体实例可进行操作。-SAS software, data and data analysis using SAS software, including the canonical correlation analysis, discriminant analysis and cluster analysis, specific examples can be operated.
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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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典型相关分析的实现，分析两组变量之间的相互关系。用控制台来实现-The realization of the canonical correlation analysis, analysis of the correlation between the two sets of variables. Console
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We consider an extension of ICA and BSS for separating
mutually dependent and independent components from two related data
sets. We propose a new method which first uses canonical correlation
analysis for detecting subspaces of independent and
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这是机器学习的一个典型的算法-典型相关性分析-This is a typical machine learning algorithms- canonical correlation analysis
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Canonical Correlation Analysis
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