How does the k-Nearest Neighbors (k-NN) algorithm classify an unknown data point?
- By assigning the class label that the farthest neighbor belongs to.
- By assigning the class label that the majority of its k-nearest neighbors belong to.
- By calculating the mean of its k-nearest neighbors' features.
- By using a weighted average of the k-nearest neighbors' class labels.
The k-Nearest Neighbors algorithm classifies an unknown data point by assigning the class label that the majority of its k-nearest neighbors belong to. It's a simple and intuitive classification method.
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