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How is knn different from k-means?
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Answer / Shivam Mishra
KNN (k-Nearest Neighbors) and k-Means are two popular machine learning algorithms, but they serve different purposes. KNN is a supervised learning algorithm used for classification and regression tasks where it predicts the output based on the k-nearest training samples to a given point. On the other hand, k-Means is an unsupervised learning algorithm used for clustering tasks where it groups data points into clusters based on their similarities.
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