IU X-Informatics Unit 15 : Recommender System IV 2: Python k'th Nearest Neighbor Algorithms II
Channel: Digital Science Center Courses
Date: 2013-09-06

Lesson Overview:
This lesson considers the Python k Nearest Neighbor code found on the web associated with a book by Harrington on Machine Learning. There are two data sets. First we consider a set of 4 2D vectors divided into two categories (clusters) and use k=3 Nearest Neighbor algorithm to classify 3 test points. Second we consider a 3D dataset that has already been classified and show how to normalize. In this lesson we just use Matplotlib to give 2D plots.

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