Posted On: Apr 02, 2020
KNN is a supervised algorithm used for both classification and regression. It uses labeled data to model a function to produce an output from the unlabeled data. It uses the Euclidean distance formula to calculate the distance between the data points for classification or prediction. It works on the principle that similar data points must be close to each other so it uses the distance to calculate the similar points that are close to each other.
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Supervised and unsupervised are the two types of Machine learning algorithms available. In the supervised type, the algorithms are applied to the known labeled data to formulate a model. Labeled data...