搜索资源列表
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主成分分析程序，适合做向量场的正交分解
-principal component analysis procedures, suitable for the vector field orthogonal decomposition
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经验正交函数，EOF程序，主成分分析程序，适合做向量场的正交分解。,EOF, EOF procedures, principal component analysis procedure, suitable for vector field orthogonal decomposition.
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基于非线性主分量分析(PAST)的
自适应盲信号分离
-Based on nonlinear principal component analysis (PAST) Adaptive Blind Signal Separation
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matlab源程序：
用Fisher两类判别法对样本进行分类
对样本进行主成分分析
用最短距离算法的系统聚类对样本进行聚类
用二次完全式回归法估计一个因变量与两个自变量之间的关系
-matlab source: The Fisher discriminant method, two types of samples to classify the samples by principal component analysis system using the shortest
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upload file, upload file, upload file, upload file, -upload file, upload file, upload file, upload file, upload file, upload file, upload file, upload file, upload file,
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主成分分析的源代码，用matlab编写的-Principal component analysis of the source code using matlab
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主分量分析的MATLAB程序，对于初学者比较有用，可以好好看一下-MATLAB program, the principal component analysis is useful for beginners, you can take a look at
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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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用核主成分分析算法进行的人脸识别，总的来说识别率还不错-Face recognition using the nuclear principal component analysis algorithm, on the whole pretty good recognition rate
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此程序解释了主成分分析PCA的用法通过matlab将其实现-This program explains the principal component analysis PCA usage by matlab to achieve
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主成分分析,适合降维处理，很实用，可用于近红外分析-The principal component analysis for dimensionality reduction process, very practical, and can be used in the near-infrared analysis
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kpc核主元分析程序 kpc核主元分析程序 kpc核主元分析程序 -kpc KPCA program kpc kernel principal component analysis program kpc nuclear main element analysis program kpc nuclear main element analysis program kpc kernel principal component analysis program analysis program kp
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主元分析法的C语言程序，主要用在降维的方面，也可用在信号处理，故障诊断。-Principal Component Analysis Method C language program, mainly used in dimensionality reduction, can also be used in signal processing, fault diagnosis.
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principal component analysis(PCA)主成分分析，Matlab实例代码-principal component analysis(PCA)
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经典主成分分析法，实现高光谱图像的降维处理 -Classical principal component analysis, to achieve high spectral image dimensionality reduction
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核主成分分析法，用于高光谱图像的降维处理，效果较好-Kernel principal component analysis for hyperspectral image dimensionality reduction, better
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主成分分析的代码，数据处理的必备，方便实用-Principal component analysis of the code, the data processing required, convenient and practical! !
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为有效解决局部二元模式(LBP)在人脸识别特征提取时维数过高的问题，提出了一种结合LBP特征和主成分分析(PCA)的人脸识别方法．-To effectively solve the local binary pattern (LBP) feature extraction in face recognition problem of high dimensionality, we propose a combination of LBP features and principal compon
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脑电信号的自协方差分析，对主成分之间的自相关性的分析-Since EEG analysis of covariance, principal component analysis of the self-correlation between
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减少数据集的维数，同时保持数据集中的对方差贡献最大的特征。只需要输入数据的文件，即可运算。-principal components analysis
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