The NearestCentroid module in sklearn.neighbors is a simple and efficient algorithm for classification tasks. It calculates the centroids for each class in the training data, and assigns a new instance to the class with the nearest centroid. This algorithm is especially useful for high-dimensional datasets or when the classes have varying sizes. It is also known as the Nearest Shrunken Centroids or K-Nearest Centroid classifier.
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