K Nearest Neighbor Tutorial
This tutorial is an introduction to an instance based learning called K-Nearest Neighbor or KNN algorithm. KNN is part of supervised learning that has been used in many applications in the field of data mining, statistical pattern recognition, image processing and many others. Some successful applications are including recognition of handwriting, satellite image and EKG pattern. Instead of using sophisticated software or any programming language, I will use only spreadsheet functions of Microsoft Excel, without any macro. If you purchase the ebook of this tutorial, you can download the spreadsheet companion of this tutorial.
Topics of this tutorial are:
What is K-Nearest Neighbor (KNN) Algorithm ?
How K-Nearest Neighbor (KNN) Algorithm works?
Numerical Example (hand computation)
KNN for Smoothing and Prediction
How do we use the spreadsheet for KNN?
Strength and Weakness of K-Nearest Neighbor Algorithm
Resources for K Nearest Neighbors Algorithm
Preferable reference for this tutorial is
Teknomo, Kardi. K-Nearest Neighbors Tutorial. http:\\people.revoledu.com\kardi\tutorial\KNN\