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2014-03-05 18:04:49 -0600	commented answer	What characteristics does opencv's k nearest neighbor algorithm use to predict? Thank you very much for your help!
2014-03-05 17:53:19 -0600	received badge	● Scholar (source)
2014-03-05 17:19:58 -0600	commented answer	What characteristics does opencv's k nearest neighbor algorithm use to predict? Sorry, what are superplans? I've tried googling but nothing comes up.
2014-03-05 17:17:06 -0600	received badge	● Supporter (source)
2014-03-05 15:04:40 -0600	commented answer	What characteristics does opencv's k nearest neighbor algorithm use to predict? Sorry, should have specified it was the first example. If only vectors are passed to the function, how are they used for training and prediction with the k nearest neighbor algorithm?
2014-03-04 13:53:55 -0600	received badge	● Student (source)
2014-03-04 10:23:23 -0600	asked a question	What characteristics does opencv's k nearest neighbor algorithm use to predict? I found this basic ocr example in the opencv docs that uses the k nearest neighbor algorithm to predict. From here, the algorithm predicts by plotting a set of training data in feature space by some characteristics of each data, and then finding the nearest neighbors of the given object plotted in the same feature space. What features does opencv's k nearest neighbor algorithm use to identify the handwritten digits in the example I found?