Machine Learning Technique for Comparison and Evaluation of Clustering

Data residing in small chips and hard disks are so much huge that they cannot be easily analyzed manually. So to access useful and knowledgeable information, one has to go beyond human’s reach and rely on a technique of the computer science, that is, data mining which has been in a research area since a last decade. Data explosion in every field whether it is business, pharmaceutical or medical field. Where enormous data storage occurs, name comes data warehouse and for piling its mountain down to its knowledgeable form is data mining. Association, classification and clustering represent basics data mining techniques. The recent paper works on the three univariant datasets to finalize the evaluation of clusters on three clustering algorithms and finally draw the accuracy behavior of these three algorithms.

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International Journal of Computer Science and Mobile Computing (IJCSMC)