Narasimha Murty M/ M. N. Murty/M. N. Narasimha Murthy

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Anil K. JainMichigan State UniversityVerified email at cse.msu.edu
Patrick J. FlynnFritz Duda Family Professor and Chair, CSE, University of Notre DameVerified email at nd.edu
Shalabh BhatnagarProfessor in the Department of Computer Science and Automation, Indian Institute of ScienceVerified email at iisc.ac.in
Shirish ShevadeIndian Institute of ScienceVerified email at csa.iisc.ernet.in
Ravindra Babu TallamrajuMyntraVerified email at myntra.com
Asharaf SProfessor, IIITM-K, Trivandrum, IndiaVerified email at iiitmk.ac.in
Ambedkar DukkipatiAssociate Professor, Department of Computer Science and Automation, Indian Institute of ScienceVerified email at iisc.ac.in
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVerified email at stat.purdue.edu
Sambaran BandyopadhyayIBM Research & Indian Institute of Science, BangaloreVerified email at in.ibm.com
Viswanath PulabaigariIIIT Sri City, ChittoorVerified email at ieee.org
Krishna KummamuruAccentureVerified email at accenture.com
Arun RajkumarAssistant ProfessorVerified email at cse.iitm.ac.in
P. A. VijayaProfessor & HOD of ECE, BNMIT, BANGALORE-560070Verified email at bnmit.in
Sharad NandanwarApplied Scientist - IIVerified email at amazon.com
Seetha HariProfessor and Dean,School of Computer Science and Engineering VIT-AP, Amaravati,Andhra PradeshVerified email at vitap.ac.in
Alex SmolaAmazon Web ServicesVerified email at smola.org
Vikas K. GargMassachusetts Institute of Technology (MIT)Verified email at mit.edu
Chiranjib BhattacharyyaProfessor, Indian Institute of ScienceVerified email at csa.iisc.ernet.in
Geetha ManjunathXerox Research Center IndiaVerified email at xerox.com
Dinkar SitaramCloud Computing Innovation Council of IndiaVerified email at ccici.in

Narasimha Murty M/ M. N. Murty/M. N. Narasimha Murthy

honorary professor, computer science and automation, indian institute of science

Verified email at iisc.ac.in - Homepage

pattern recognition data mining machine learning information retrieval topic models


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Data clustering: a review AK Jain, MN Murty, PJ Flynn ACM computing surveys (CSUR) 31 (3), 264-323, 1999	17677	1999
Genetic K-means algorithm K Krishna, MN Murty IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 29 …, 1999	1322	1999
On finding the natural number of topics with latent dirichlet allocation: Some observations R Arun, V Suresh, CEV Madhavan, MNN Murthy Pacific-Asia conference on knowledge discovery and data mining, 391-402, 2010	442	2010
On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations NM Arun,Suresh,Veni Madhavan PAKDD, 391-402, 2010	442*	2010
Pattern recognition: An algorithmic approach MN Murty, VS Devi Springer Science & Business Media, 2011	284*	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	256	1993
Clustering with evolution strategies GP Babu, MN Murty Pattern recognition 27 (2), 321-329, 1994	221	1994
SimpleSVM SVN Vishwanathan, AJ Smola, MN Murty Proceedings of the Twentieth International Conference on International …, 2003	154	2003
An incremental prototype set building technique VS Devi, MN Murty Pattern Recognition 35 (2), 505-513, 2002	116	2002
Off-line signature verification using genetically optimized weighted features VE Ramesh, MN Murty Pattern recognition 32 (2), 217-233, 1999	115	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	112	2004
SSVM: a simple SVM algorithm SVM Vishwanathan, MN Murty Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002	110	2002
Tree structure for efficient data mining using rough sets VS Ananthanarayana, MN Murty, DK Subramanian Pattern Recognition Letters 24 (6), 851-862, 2003	101	2003
Rough set based incremental clustering of interval data S Asharaf, MN Murty, SK Shevade Pattern Recognition Letters 27 (6), 515-519, 2006	97	2006
Comparison of genetic algorithm based prototype selection schemes TR Babu, MN Murty Pattern Recognition 34 (2), 523-525, 2001	95	2001
An adaptive rough fuzzy single pass algorithm for clustering large data sets S Asharaf, MN Murty Pattern Recognition 36 (12), 3015-3018, 2003	81	2003
Rough support vector clustering S Asharaf, SK Shevade, MN Murty Pattern Recognition 38 (10), 1779-1783, 2005	68	2005
A computationally efficient technique for data-clustering MN Murty, G Krishna Pattern Recognition 12 (3), 153-158, 1980	64	1980
Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks MN Murty, R Raghava Springer, 2016	56*	2016
Multiclass core vector machine S Asharaf, MN Murty, SK Shevade Proceedings of the 24th international conference on Machine learning, 41-48, 2007	56	2007

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