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python Programming Glossary: dimUsing numpy to build an array of all combinations of two arrays http://stackoverflow.com/questions/1208118/using-numpy-to-build-an-array-of-all-combinations-of-two-arrays way to do this. My function takes float values given a 6 dim numpy array as input. What I tried to do initially was this.. take it's arguments if it's necessary. python arrays multidimensional array numpy share improve this question Here's a..
http://stackoverflow.com/questions/1827489/numpy-meshgrid-in-3d grid. What is the easiest way to extend this to three dimensions So given three vectors x y and z construct 3x3D arrays.. of `x` and y repeated to fill the matrix along the first dimension for `x` the second for `y`. See Also index_tricks.mgrid.. for `y`. See Also index_tricks.mgrid Construct a multi dimensional meshgrid using indexing notation. index_tricks.ogrid..
Fastest way to list all primes below N in python http://stackoverflow.com/questions/2068372/fastest-way-to-list-all-primes-below-n-in-python offsets 7 11 13 17 19 23 29 1 # prepare the list p 2 3 5 dim 2 N const tk1 True dim tk7 True dim tk11 True dim tk13 True.. 23 29 1 # prepare the list p 2 3 5 dim 2 N const tk1 True dim tk7 True dim tk11 True dim tk13 True dim tk17 True dim tk19.. the list p 2 3 5 dim 2 N const tk1 True dim tk7 True dim tk11 True dim tk13 True dim tk17 True dim tk19 True dim tk23..
Is it possible to specify your own distance function using Scikits.Learn K-Means Clustering? http://stackoverflow.com/questions/5529625/is-it-possible-to-specify-your-own-distance-function-using-scikits-learn-k-means one user so far not enough in particular what are your N dim k metric # usr bin env python # kmeans.py using any of the 20.. real app # centres get dense rapidly metrics in high dim hit distance whiteout # vs unsupervised semi supervised svm.. Xtocentre distances kmeans X initial centres ... in X N x dim may be sparse centres k x dim initial centres e.g. random.sample..
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