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Explain the Algorithm of Nearest Neighbor in Machine Learning?
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Answer / Mr.manoj Kumar
The Nearest Neighbor algorithm is a simple instance-based learning algorithm used for classification and regression. It works by storing all training samples and, when presented with a new sample, classifying it based on its nearest neighbor(s) among the stored training data. The closest sample(s) is (are) identified using a distance metric, such as Euclidean distance or Manhattan distance. For regression tasks, the output is the average of the values of the k-nearest neighbors.
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