Implement k-means clustering algorithm
This project was awarded to prince2502 for ₹5555 INR.Get free quotes for a project like this
Project Budget₹1500 - ₹12500 INR
implement k-means clustering algorithm using one of your popular programming languages.(C or C++)
Your code will be compiled from command line, make sure it is compiled without any error:
e.g. >javac [url removed, login to view]
Your program should accept ARFF (Attribute-Relation File Format) data file format as input and it should generate ARFF files for output. You can ignore the comments in the file. Please do not use any library to read .arff files such as matlab, weka, etc. Your program should use only standard libraries of the programming languages.
[url removed, login to view]~gweiss/data-mining/weka-data/[url removed, login to view]
More sample files can be accessed:
[url removed, login to view]~gweiss/data-mining/weka-data/
Your program will be run from command prompt. A sample command would be as following command:
e.g.>java ID00005Kmeans –i [url removed, login to view] –o [url removed, login to view] –c classAttributeName –k numberOfClusters
e.g.>java ID00005Kmeans –i [url removed, login to view] –o id00005 [url removed, login to view] –c class –k 2
Your program should generate an additional output file which stores the centroids of each cluster along with confusion matrix.
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