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K-Means Clustering algorithm
This project forked from karimtabet/kmeans
K-Means Clustering algorithm
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. 2nd Year BSc Computer Science, Machine Learning Coursework. AUTHORS: Karim Tabet, Snippets from Chris Thornton VERSION or DATE: 1.0 25/11/2010 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. ------------------------------------------------------------------------
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