k-Nearest Neighbor Classification Algorithm

A k-Nearest Neighbor Classification Algorithm is a kNN algorithm that is a supervised classification algorithm that can be implemented by a kNN classification system (to solve a kNN classification task).

• See: k-Nearest Neighbor Regression Algorithm.

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References

1999

• (Zaiane, 1999) ⇒ Osmar Zaiane. (1999). “Glossary of Data Mining Terms. University of Alberta, Computing Science CMPUT-690: Principles of Knowledge Discovery in Databases.
  • Quote: Nearest Neighbour:A technique that classifies each record in a dataset based on a combination of the classes of the k record(s) most similar to it in a historical dataset (where k is greater than or equal to 1). Sometimes called a k-nearest neighbour technique.

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