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#! /usr/bin/env python
# David Cournapeau
# Last Change: Mon Oct 23 04:00 PM 2006 J
# For now, just copy the tests from sandbox.pyem, so we can check that
# kmeans works OK for trivial examples.
import sys
from numpy.testing import *
import numpy as N
set_package_path()
from cluster.vq import kmeans
restore_path()
# #Optional:
# set_local_path()
# # import modules that are located in the same directory as this file.
# restore_path()
# Global data
X = N.array([[3.0, 3], [4, 3], [4, 2],
[9, 2], [5, 1], [6, 2], [9, 4],
[5, 2], [5, 4], [7, 4], [6, 5]])
codet1 = N.array([[3.0000, 3.0000],
[6.2000, 4.0000],
[5.8000, 1.8000]])
codet2 = N.array([[11.0/3, 8.0/3],
[6.7500, 4.2500],
[6.2500, 1.7500]])
class test_kmean(NumpyTestCase):
def check_kmeans(self, level=1):
initc = N.concatenate(([[X[0]], [X[1]], [X[2]]]))
code = initc.copy()
code1 = kmeans(X, code)[0]
assert_array_almost_equal(code1, codet2)
if __name__ == "__main__":
NumpyTest().run()
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