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Comparative Study on Cluster Algorithms

M. Aishwarya


Generally data mining is a process where we analyse raw data and implement it into meaningful information. WEKA is one of the analytical tools used for data analysis. It contains many machine learning algorithms used to classify, cluster and associate data set. In this paper we are going to use various algorithms on the training data set taken from repositories and are going to cluster the data set. We have put forward a comparative study on how each algorithm is implemented.   


Data Mining, WEKA, Cluster, K-Means

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