Computational complexity between K-means and K-medoids clustering algorithms for normal and uniform distributions of data points T Velmurugan, T Santhanam Journal of computer science 6 (3), 363, 2010 | 318 | 2010 |
Performance based analysis between k-Means and Fuzzy C-Means clustering algorithms for connection oriented telecommunication data T Velmurugan Applied Soft Computing 19, 134-146, 2014 | 185 | 2014 |
Performance analysis of decision tree algorithms for breast cancer classification E Venkatesan, T Velmurugan Indian Journal of Science and Technology, 2015 | 139 | 2015 |
A survey of partition based clustering algorithms in data mining:An Experimental Approach T Velmurugan, T Santhanam Information Technology Journal 10 (3), 478-484, 2011 | 131 | 2011 |
A comparative analysis on the evaluation of classification algorithms in the prediction of students performance C Anuradha, T Velmurugan Indian Journal of Science and technology, 2015 | 129 | 2015 |
Efficiency of k-Means and K-Medoids Algorithms for Clustering Arbitrary Data Points T VELMURUGAN International Journal of Computer Technology & Applications 3 (5), 1758-1764, 2012 | 103 | 2012 |
Preprocessing by contrast enhancement techniques for medical images S Perumal, T Velmurugan International Journal of Pure and Applied Mathematics 118 (18), 3681-3688, 2018 | 95 | 2018 |
Analyzing diabetic data using classification algorithms in data mining K Saravananathan, T Velmurugan Indian Journal of Science and Technology, 2016 | 76 | 2016 |
Performance evaluation of k-means and fuzzy c-means clustering algorithms for statistical distributions of input data points T Velmurugan, T Santhanam European Journal of Scientific Research 46 (3), 320-330, 2010 | 64 | 2010 |
Detection of brain tumor by particle swarm optimization using image segmentation S Mahalakshmi, T Velmurugan Indian Journal of Science and Technology, 2015 | 58 | 2015 |
Applications of partition based clustering algorithms: A survey A Dharmarajan, T Velmurugan Computational Intelligence and Computing Research (ICCIC), 2013 IEEE …, 2013 | 44 | 2013 |
Lung cancer data analysis by k-means and farthest first clustering algorithms A Dharmarajan, T Velmurugan Indian Journal of science and Technology, 2015 | 43 | 2015 |
Performance evaluation of feature selection algorithms in educational data mining T Velmurugan, C Anuradha Performance Evaluation 5 (02), 2016 | 33 | 2016 |
Identification of calcification in MRI brain images by k-means algorithm A Naveen, T Velmurugan Indian Journal of Science and Technology, 2015 | 33 | 2015 |
Analysing the quality of association rules by computing an interestingness measures J Manimaran, T Velmurugan Indian Journal of Science and Technology, 2015 | 33 | 2015 |
Lung cancer detection and classification on CT scan images using enhanced artificial bee colony optimization S Perumal, T Velmurugan International Journal of Engineering & Technology 7 (2.26), 74-79, 2018 | 32 | 2018 |
Analysis of student academic performance using clustering techniques K Govindasamy, T Velmurugan International Journal of Pure and Applied Mathematics 119 (15), 309-323, 2018 | 32 | 2018 |
A survey on breast cancer analysis using data mining techniques B Padmapriya, T Velmurugan 2014 IEEE international conference on computational intelligence and …, 2014 | 32 | 2014 |
Feature selection techniques to analyse student acadamic performance using Naïve Bayes classifier C Anuradha, T Velmurugan The 3rd international conference on small & medium business, 345-350, 2016 | 30 | 2016 |
Classification algorithm based analysis of breast cancer data B Padmapriya, T Velmurugan International Journal of Data Mining Techniques and Applications 5 (1), 43-49, 2016 | 26 | 2016 |