python Programming Glossary: reduction

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

to use principal component analysis PCA for dimensionality reduction. Does numpy or scipy already have it or do I have to roll my..

How can I quantify difference between two images?

http://stackoverflow.com/questions/189943/how-can-i-quantify-difference-between-two-images

sensors have more noise. You may wish to apply some noise reduction before you compare images. Blur is the most simple but not the..

Dimension Reduction in Categorical Data with missing values

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

of the model so one of the key tasks is dimension reduction before running the regression. While I am aware of several methods.. While I am aware of several methods for dimension reduction for continuous variables I am not aware of a similar statical.. there a good statistical reference out there for dimension reduction for categorical data along with robust imputation I think the..

Stack performance in programming languages

http://stackoverflow.com/questions/4121790/stack-performance-in-programming-languages

difference a drop from 2.015 seconds to 0.766 seconds a reduction of about 62 . Beyond that you need to ensure you've tested correctly... time taken from 0.766 seconds to 0.078 seconds a further reduction of 89 and a whopping reduction of 96 from the original code... to 0.078 seconds a further reduction of 89 and a whopping reduction of 96 from the original code. And as a final attempt you should..

Are there any radix/patricia/critbit trees for Python?

http://stackoverflow.com/questions/4707296/are-there-any-radix-patricia-critbit-trees-for-python

Python's intersect method is implemented as a pairwise reduction. I think I can do better with a parallel search of sorted sets..

How can I build a recursive function in python? [closed]

http://stackoverflow.com/questions/479343/how-can-i-build-a-recursive-function-in-python

recursive algorithm are The termination condition n 0 The reduction step where the function calls itself with a smaller number each..

Generating unique, ordered Pythagorean triplets

http://stackoverflow.com/questions/575117/generating-unique-ordered-pythagorean-triplets

However it is still cubic on N the improvement is just a reduction of the co efficient of N cubed. It is pointless to continue..

PyCUDA/CUDA: Causes of non-deterministic launch failures?

http://stackoverflow.com/questions/5827219/pycuda-cuda-causes-of-non-deterministic-launch-failures

another solves these generated linear systems and another reduction kernel to get the final result out. These three kernels are..

Calculating the percentage of variance measure for k-means?

http://stackoverflow.com/questions/6645895/calculating-the-percentage-of-variance-measure-for-k-means

t data 'target' # perform PCA dimensionality reduction pca RandomizedPCA n_components 2 .fit data 'data' X pca.transform..

Quine-McCluskey algorithm in Python

http://stackoverflow.com/questions/7537125/quine-mccluskey-algorithm-in-python

search showed few useful results. I'm looking for 4x4 map reduction not 2x2 or 3x3. Any ideas or references python algorithm ..

Python: Optimizing Code Using SQLite3 + Mutagen

http://stackoverflow.com/questions/8640701/python-optimizing-code-using-sqlite3-mutagen

result however is a regression of performance but a huge reduction in the number of function calls made the second batch runs for..