Assume there is a black box algorithm that takes training data with multiple ob...
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Assume there is a black box algorithm that takes training data with multiple observations (t1, t2, t3,…….. tn) and a new observation (q1).The black box outputs the nearest neighbour of q1 (say ti) and its corresponding class label ci.You can also think that this black box algorithm is the same as 1-NN (1-nearest neighbour).
Is it possible to construct a k-NN classification algorithm based on this black box alone?
Note: Where n (number of training observations) is very large compared to k.
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