Package pyvision :: Package ml :: Module knn

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Module knn

Classes

PNorm

RobustPNorm

KNearestNeighbors
Basic k nearest neighbors algorithm.

FLANNTree

AKNNTest

Functions

chisquared(points, data)
Compute the chi squared statistic between histograms

source code

bhattacharyya(points, data)
Compute bhattacharyya distance for histograms.

source code

correlation(points, data, reg=1e-05)
Compute the correlation between points and data where points are stored as rows.

source code

Variables

FLANN_IMPORTED = True

TEST_POINTS_5D = array([[ 0.09273629, 0.86328785, 0.82759423...

__package__ = 'pyvision.ml'

Variables Details

TEST_POINTS_5D

Value:

array([[ 0.09273629,  0.86328785,  0.82759423,  0.06358449,  0.6964691
 ],
       [ 0.38921242,  0.27196045,  0.47531837,  0.81767623,  0.0030482
7],
       [ 0.67244411,  0.01582804,  0.14877885,  0.6392914 ,  0.6445385
3],
       ..., 
       [ 0.8509048 ,  0.16696444,  0.40163772,  0.34617404,  0.8249275
...