


K Nearest Neighbors Tutorial Share this: Google+ This tutorial is an introduction to an instance based learning called KNearest 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. First, you will learn KNN for classification, then we will extend the same method for smoothing and prediction in solving time series data. Topics of this tutorial are: What is KNearest Neighbor (KNN) Algorithm?Give your feedback and rate this tutorial Read it off line on any device. Click here to purchase the complete Ebook of this tutorial See Also: Preferable reference for this tutorial is Teknomo, Kardi. KNearest Neighbors Tutorial. http:\\people.revoledu.com\kardi\ tutorial\KNN\ 



