Efficient KNN with KD-Tree Optimization #Shorts

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#knn #kdtree #Shorts
K-nearest neighbor is a popular supervised machine learning algorithm with the limitation of scaling it up to large datasets. One way to improve this time complexity is to couple it up with KD-Trees data structure that helps in reducing the comparison space by many folds. / Efficient KNN with KD-Tree Optimization

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Isn't it same as Approximate Nearest Neighbor?

arnavdman