“The k-nearest neighbors algorithm (KNN) is a non-parametric method used for classification and regression. In both cases, the input consists of the k closest training examples in the feature space. The output depends on whether k-NN is used for classification or regression”-Wikipedia
So actually KNN can be used for Classification or Regression problem, but in general, KNN is used for Classification Problems. Some applications of KNN are in Handwriting Recognition, Satellite Image Recognition, and ECG Pattern Recognition. This algorithm is very simple but is often used by Data Scientists.
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