Hi,
What does it mean a k-nearest neighbor classifier? I mean, using Fisherfaces, if i predict a model using a 3-nearest neighbor classifier i would get something like this:
{
'labels' : [ 0, 0, 1 ],
'distances' : [ 10.132, 10.341, 13.314 ]
}
Does this mean that for the first region or component of the Fisherfaces the predicted label is 0 and the distance 10.132? For the seccond region or component of the Fisherfaces the predicted label is 0 and the distance 10.341?
Am i correct? or i'm interpreting the results wrong?
Any help is appreciated, thank you!