Subscribe to DSC Newsletter

Venky Rao's Blog – December 2012 Archive (1)

Introduction to the K-Nearest Neighbor (KNN) algorithm

In pattern recognition, the K-Nearest Neighbor algorithm (KNN) is a method for classifying objects based on the closest training examples in the feature space.  KNN is a type of instance-based learning, or lazy learning where the function is only approximated locally and all computation is deferred until classification.  The KNN algorithm is amongst the simplest of all machine learning algorithms: an object is classified by a majority vote of its neighbors, with the object being assigned…
Continue

Added by Venky Rao on December 1, 2012 at 7:18am — No Comments

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service