k-nearest neighbors
"K-nearest neighbors (KNN) is a machine learning algorithm that classifies an input data point based on the majority vote of its 'k' nearest neighbors in the feature space. It determines the class or category of the input by examining the labels of the k nearest data points and assigning the input to the class with the highest count among its neighbors."
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Similar Concepts
- approximate nearest neighbor search
- artificial neural networks
- clustering
- clustering algorithms
- clustering techniques
- clustering-based approaches
- fuzzy clustering
- nearest neighbor search
- neighborhood-based methods
- neighborhoods
- neural network modeling
- neural network-based recommender systems
- proximity
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