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Implement k-means clustering algorithm

这项目被授予 prince2502 ,费用为₹5555 INR

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项目预算
₹1500 - ₹12500 INR
全部竞标
7
项目描述

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

or

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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