python Programming Glossary: principal

http://stackoverflow.com/questions/1730600/principal-component-analysis-in-python

component analysis in Python I'd like to use principal component analysis PCA for dimensionality reduction. Does numpy..

How to get the 1st Principal Component by PCA using Python?

http://stackoverflow.com/questions/17916837/how-to-get-the-1st-principal-component-by-pca-using-python

presented in a n 2 matrix form. I wish to get the 1st principal component i.e. the vector that indicates the direction with..

How to add a timeout to a function in Python

http://stackoverflow.com/questions/2196999/how-to-add-a-timeout-to-a-function-in-python

cross platform timeout share improve this question The principal problem with your code is the overuse of the double underscore..

Fitting a line in 3D

http://stackoverflow.com/questions/2298390/fitting-a-line-in-3d

point and its projection then what you want is the first principal component. One way to define it is the line whose direction.. np.linalg.svd data datamean # Now vv 0 contains the first principal component i.e. the direction # vector of the 'best fit' line..

Can Cython compile to an EXE?

http://stackoverflow.com/questions/2581784/can-cython-compile-to-an-exe

compilation cython share improve this question In principal it appears to be possible to do something like what you want..

Dimension Reduction in Categorical Data with missing values

http://stackoverflow.com/questions/2837850/dimension-reduction-in-categorical-data-with-missing-values

correspondence analysis which is basically a variation of principal component analysis on frequency table . Let me also add that..

Data Modelling Advice for Blog Tagging system on Google App Engine

http://stackoverflow.com/questions/304117/data-modelling-advice-for-blog-tagging-system-on-google-app-engine

any obvious pitfalls. It's my understanding that a basic principal is that storage is cheap don't worry about data duplication..

How to sort my paws?

http://stackoverflow.com/questions/4502656/how-to-sort-my-paws

as a combination of these eigenpaws. This is identical to principal components analysis and basically provides a way to reduce the..

Kmeans without knowing the number of clusters?

http://stackoverflow.com/questions/6615665/kmeans-without-knowing-the-number-of-clusters

Otherwise you try a different k . Also you could do PCA principal component analysis to reduce your 50 dimensions to some more..

In Python, when should I use a function instead of a method?

http://stackoverflow.com/questions/8108688/in-python-when-should-i-use-a-function-instead-of-a-method

which is so dear to OO design. The encapsulation principal is really what this comes down to as a designer you should hide..