K-nearest neighbors (KNN) is a simple yet effective classification algorithm that assigns a class label to a data point based on the majority class of its k nearest neighbors in the feature space. This technique relies on the idea that similar data points tend to be close to each other, making it useful for classifying new data points based on their proximity to labeled examples.
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