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模式识别理论中KPCA(Kernel based Principle Component Analysis)方法的推导-Kernel based Principle Component Analysis-pattern recognition
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principle component analysis is powerfull matlab source for face recognition.
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运用matlab编程实现PCA主成分分析算法-Principle component analysis
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PCA Principle component analysis code
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通过在线PCA来识别手势，并能对新增手势做一定的增量，很好的实现了增量学习。算法具有效率高，识别率好，速度快等特点，同样适合其他模式识别方面的应用。-The learning method for hand gesture recognition system based on vision is commonly off-line，which results in repeated off-line learning when new hand gestures come． Its real-
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Function to perform Principle Component Analysis over a set of training
vectors passed as a concatenated matrix.
Usage:- [V,D,M] = pca(X,n)
[V,D] = pca(X,aM,n)
where:-
<input>
X = concatenated set of column vectors
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稀疏主成分分析算法，用于特征提取，维数约简。-Sparse Principle Component Analysis for feature extraction
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This code use Principle Component Analysis(PCA)for feature extraction
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This function used to calculate PCA of image.
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General Principle Component Analysis (GPCA)
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A matlab for principle component analysis
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principle component analysis is one of most powerful method for feather extraction
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主成分分析(Principle Component Analysis, PCA)是最为常用的特征提取方法，被广泛应用到各领域，如图像处理、综合评价、语音识别、故障诊断等。-Principal component analysis (Principle Component Analysis, PCA) is the most commonly used feature extraction methods are widely applied to various fields, such as
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matlab principle component analysis
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在核空间中进行pca，简称kpca的源码-kernel principle component analysis
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模式识别中独立成分分析算法的matlab源码-Principle component analysis
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it is very important tool in principle component analysis so we use it
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this principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models -this is principle component analysis(PCA) t
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kernel principle component analysis 故障检测-kernel principle component analysis fault detection
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This the code for PCA (Principle component analysis). First PCA is used for dimension reduction. And then KNN is applied for classification.-This is the code for PCA (Principle component analysis). First PCA is used for dimension reduction. And then
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