I have a database with 500,000 points in a 100 dimensional space, and I want to find the closest 2 points. How do I do it?
Can someone please either confirm or correct this Wikipedia algorithm for computing the first principal component?I want a simple implementation of PCA in D, which doesn\'t have any existing libraries
May I know whether C++ or PHP is more efficient on running PCA (Principal Component Analysis)? I\'m developing a web based system which get uploaded image with php, and then process the image so that
How do I visualize the SVM classification once I perform SVM training in Matlab? So far, I have only trained the SVM with:
I have some question regarding principal component and factor analysis. For PCA, does it matter whether the eigenvalues are computed from the covariance matrix or the correlation matrix É
I\'d like to use principal component analysis (PCA) for dimensionality reduction.Does numpy or scipy already have it, or do I have to roll my own using numpy.linalg.eigh?
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