k-Nearest Neighbor System

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):
  • a Nearest Neighbor Traveling Salesman System.
  • …
• Counter-Example(s):
  • Model-based Learning System.
  • Eager Learning System.
• See: sklearn.neighbors.

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