PROJECT TITLE: Ok-Means Clustering
PURPOSE OF PROJECT: Implement k-means clustering on a coaching information set to foretell classification values of a take a look at information set.
AUTHORS: Dhanamjay
VERSION or DATE: 1.0 14/08/2014
INSTRUCTIONS: 1) Compile each Java recordsdata
(javac Information.java KMeansClustering.java)
2) Run KMeansClustering (java KMeansClustering)
3) After prompted, specify variety of centroids to make use of.
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The experiment supposed to categorise take a look at information values utilizing the information
mining technique referred to as k-means clustering.
The 6 variables within the coaching information are used to plot the information and centroids are positioned to find clumps of the 255, categorized coaching information. As soon as positioned, a classification worth could be assigned to the 100, take a look at information.
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