*k-NEAREST NEIGHBORS CLASSIFIER*
Given data (x1; y1); : : : ; (xn; yn), construct the k-NN classifier as follows:
For a new input x,
1. Return the k points closest to x, indexed as xi1; : : : ; xik.
2. Return the majority-vote of yi1; yi2; : : : ; yik.
(Break ties in both steps arbitrarily.)
Example: OCR with k-NN classifier
k 1 3 5 7 9
err(^fk; T)
#nearest #neighbors #classification
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5 3 k nearest Neighbors Classifier | Machine Learning
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Data ScienceMachine LearningDeep LearningNeural NetworkArtificial Neural NetworkannConvolutional Neural NetworkcnnRecurrent Neural NetworkrnnLong Short Term MemorylstmGated Recurrent UnitgruComputer VisionNatural Language ProcessingnlpNltkSpacyTensorflowLinear RegressionLogistic RregressionK Nearest NeighbourknnDecision TreeRandom ForestSupport Vector MachinessvmSklearnPythonDjangoDjango Rest Framework
