PROJECT TITLE: K-Means Clustering

PURPOSE OF PROJECT: Implement k-means clustering on a training data set to predict classification values of a test data set.

AUTHORS: Dhanamjay

VERSION or DATE: 1.0 14/08/2014

INSTRUCTIONS: 1) Compile both Java files
(javac Data.java KMeansClustering.java)
2) Run KMeansClustering (java KMeansClustering)
3) After prompted, specify number of centroids to use.
----------------------------------------------------------------------
The experiment intended to classify test data values using the data
mining strategy known as k-means clustering.

The 6 variables in the training data are used to plot the data and centroids are placed to locate clumps of the 255, classified training data. Once located, a classification value can be assigned to the 100, test data.
-----------------------------------------------------------------

Note: Due to the size or complexity of this submission, the author has submitted it as a .zip file to shorten your download time. After downloading it, you will need a program like Winzip to decompress it.

Virus note: All files are scanned once-a-day by SourceCodester.com for viruses, but new viruses come out every day, so no prevention program can catch 100% of them.

FOR YOUR OWN SAFETY, PLEASE:

1. Re-scan downloaded files using your personal virus checker before using it.

2. NEVER, EVER run compiled files (.exe's, .ocx's, .dll's etc.)--only run source code.

Download