Analysis of Classification and Clustering Algorithms using Weka For Banking Data
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Abstract
In this paper, we investigate the performance of different classification and clustering algorithms using weka software. The J48,Naive
Bayes and Simple CART Classification algorthims are evaluated based on accuracy, time efficiency and error rates. The K-means, DBScan and
EM clustering algorithms are evaluated based on accuracy of clustering. We run these algorithms on large and small data sets to evaluate how
well they work.
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Keywords: Classification, Clustering, Naïve Bayes, Simple CART, K-Means, DBScan, EM
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