CS 371 - Introduction to Artificial Intelligence Homework #7

Due: Beginning of class on Thursday 4/20.
Note: Work is to be done in pairs. 

K-Means Clustering

Complete the implementation of the supplied partially-implemented KMeansClusterer according to the "k-Means Clustering Programming Exercises (Java JUnit Edition)" handout.  Submit answers to the questions in the text file "README".  Submit with the command "submit111 hw7".

More relevant resources, readings, slides, etc., may be found here: http://modelai.gettysburg.edu/2016/kmeans/, including:

• Lecture slides: http://modelai.gettysburg.edu/2016/kmeans/assets/k-Means_Clustering.pdf
•  OnMyPhd demonstration app: http://www.onmyphd.com/?p=k-means.clustering&ckattempt=1
• Wikipedia:
  • k-Means Clustering: https://en.wikipedia.org/wiki/K-means_clustering
  • Determining the number of clusters in a dataset: https://en.wikipedia.org/wiki/Determining_the_number_of_clusters_in_a_data_set
• A notation guide for relating notations of different sources (e.g. our slides, ISLR): http://modelai.gettysburg.edu/2016/kmeans/assets/notation.pdf

Todd Neller