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Module « scipy.cluster.vq »

Fonction py_vq - module scipy.cluster.vq

Signature de la fonction py_vq

def py_vq(obs, code_book, check_finite=True) 

Description

help(scipy.cluster.vq.py_vq)

Python version of vq algorithm.

The algorithm computes the Euclidean distance between each
observation and every frame in the code_book.

Parameters
----------
obs : ndarray
    Expects a rank 2 array. Each row is one observation.
code_book : ndarray
    Code book to use. Same format than obs. Should have same number of
    features (e.g., columns) than obs.
check_finite : bool, optional
    Whether to check that the input matrices contain only finite numbers.
    Disabling may give a performance gain, but may result in problems
    (crashes, non-termination) if the inputs do contain infinities or NaNs.
    Default: True

Returns
-------
code : ndarray
    code[i] gives the label of the ith obversation; its code is
    code_book[code[i]].
mind_dist : ndarray
    min_dist[i] gives the distance between the ith observation and its
    corresponding code.

Notes
-----
This function is slower than the C version but works for
all input types. If the inputs have the wrong types for the
C versions of the function, this one is called as a last resort.

It is about 20 times slower than the C version.

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