K-Nearest Neighbors (KNN) is a lean algorithm that still features prominently across academic papers and private sector machine learning research initiatives.
KNN has been called ‘the lazy learner’, since it exhaustively scans a dataset in order to evaluate the relationships between data points, rather than requiring the training of a full-fledged machine learning model.
KNN has been used for online signature verification, image classification, text mining, crop prediction, and facial recognition, besides other applications and incorporations.
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