k-Nearest Neighbor System
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A k-Nearest Neighbor System is a data-driven prediction system that applies a nearest neighbor algorithm to solve a nearest neighbors task.
- Context:
- It can range from being a Nearest Neighbor Search System (to solve a nearest neighbor search tasks) to being ...
- It can range from being a Nearest Neighbor Classification System to being a Nearest Neighbor Regression System.
- It can (typically) be an Instance-based Learning System.
- Example(s):
- Counter-Example(s):
- See: sklearn.neighbors.