MachineX: KNN Algorithm Using KSAI

This article was first published on the Knoldus blog.

Classification is a well-known area of Machine Learning. The K-Nearest neighbor algorithm is a simple algorithm that keeps all available cases and classifies new cases based on the similarity with existing cases. KNN has been used in pattern recognition as a non-parametric technique. In this algorithm, a case is classified by a majority of votes of its neighbors. If K=1, then the cases are assigned directly to the class of its...

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