| Data clustering: a review AK Jain, MN Murty, PJ Flynn ACM computing surveys (CSUR) 31 (3), 264-323, 1999 | 19986 | 1999 |
| Genetic K-means algorithm K Krishna, MN Murty IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 29 …, 1999 | 1832 | 1999 |
| On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations NM Arun,Suresh,Veni Madhavan PAKDD, 391-402, 2010 | 838* | 2010 |
| On finding the natural number of topics with latent dirichlet allocation: Some observations R Arun, V Suresh, CE Veni Madhavan, MN Narasimha Murthy Advances in Knowledge Discovery and Data Mining: 14th Pacific-Asia …, 2010 | 828 | 2010 |
| Pattern recognition: An algorithmic approach MN Murty, VS Devi Springer Science & Business Media, 2011 | 383* | 2011 |
| A near-optimal initial seed value selection in k-means means algorithm using a genetic algorithm GP Babu, MN Murty Pattern recognition letters 14 (10), 763-769, 1993 | 284 | 1993 |
| SSVM: a simple SVM algorithm SVM Vishwanathan, MN Murty Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002 | 233 | 2002 |
| Clustering with evolution strategies GP Babu, MN Murty Pattern recognition 27 (2), 321-329, 1994 | 230 | 1994 |
| SimpleSVM SVN Vishwanathan, AJ Smola, MN Murty Proceedings of the Twentieth International Conference on International …, 2003 | 155 | 2003 |
| An incremental prototype set building technique VS Devi, MN Murty Pattern Recognition 35 (2), 505-513, 2002 | 130 | 2002 |
| Off-line signature verification using genetically optimized weighted features VE Ramesh, MN Murty Pattern recognition 32 (2), 217-233, 1999 | 128 | 1999 |
| Leaders–Subleaders: An efficient hierarchical clustering algorithm for large data sets PA Vijaya, MN Murty, DK Subramanian Pattern Recognition Letters 25 (4), 505-513, 2004 | 125 | 2004 |
| Support vector machines and perceptrons: Learning, optimization, classification, and application to social networks MN Murty, R Raghava Springer, 2016 | 118* | 2016 |
| Tree structure for efficient data mining using rough sets VS Ananthanarayana, MN Murty, DK Subramanian Pattern Recognition Letters 24 (6), 851-862, 2003 | 103 | 2003 |
| Comparison of genetic algorithm based prototype selection schemes TR Babu, MN Murty Pattern Recognition 34 (2), 523-525, 2001 | 99 | 2001 |
| Rough set based incremental clustering of interval data S Asharaf, MN Murty, SK Shevade Pattern Recognition Letters 27 (6), 515-519, 2006 | 95 | 2006 |
| Outlier aware network embedding for attributed networks S Bandyopadhyay, N Lokesh, MN Murty Proceedings of the AAAI conference on artificial intelligence 33 (01), 12-19, 2019 | 85 | 2019 |
| Introduction to pattern recognition and machine learning MN Murty, VS Devi World Scientific, 2015 | 85 | 2015 |
| An adaptive rough fuzzy single pass algorithm for clustering large data sets S Asharaf, MN Murty Pattern Recognition 36 (12), 3015-3018, 2003 | 82 | 2003 |
| Outlier resistant unsupervised deep architectures for attributed network embedding S Bandyopadhyay, L N, SV Vivek, MN Murty Proceedings of the 13th international conference on web search and data …, 2020 | 79 | 2020 |
Anil K. JainMichigan State UniversityVahvistettu sähköpostiosoite verkkotunnuksessa cse.msu.edu
