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K-nearest neighbor algorithm
In pattern recognition, the k-nearest neighbor algorithm is a method for classifying objects based on closest training examples in the feature space.
More at Wikipedia
Nearest neighbor search
Cluster analysis
More related topics
Classification (machine learning)
Data mining
Machine learning
Pattern recognition
Classification algorithms
Search algorithms
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