Various insights like error rate and accuracy were calculated after visualizing the data. The three clustering methods used were K-means Clustering, Hierarchical Clustering and Spectral Clustering on theree dataset:Iris, Yeast and Glass. Comparision of this methods was done in R and Matlab.
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The main aim was to compare three clustering algorithms on different datasets and find out which algorithm will be most efficient for the users.
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