Narasimha Murty M/ M. N. Murty/M. N. Narasimha Murthy
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
Title
Cited by
Cited by
Year
Data clustering: a review
AK Jain, MN Murty, PJ Flynn
ACM computing surveys (CSUR) 31 (3), 264-323, 1999
181891999
Genetic K-means algorithm
K Krishna, MN Murty
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 29 …, 1999
13941999
On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations
NM Arun,Suresh,Veni Madhavan
PAKDD, 391-402, 2010
521*2010
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
5022010
Pattern recognition: An algorithmic approach
MN Murty, VS Devi
Springer Science & Business Media, 2011
316*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
2601993
Clustering with evolution strategies
GP Babu, MN Murty
Pattern recognition 27 (2), 321-329, 1994
2251994
SimpleSVM
SVN Vishwanathan, AJ Smola, MN Murty
Proceedings of the Twentieth International Conference on International …, 2003
1542003
SSVM: a simple SVM algorithm
SVM Vishwanathan, MN Murty
Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002
1272002
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
1192004
Off-line signature verification using genetically optimized weighted features
VE Ramesh, MN Murty
Pattern recognition 32 (2), 217-233, 1999
1191999
An incremental prototype set building technique
VS Devi, MN Murty
Pattern Recognition 35 (2), 505-513, 2002
1172002
Tree structure for efficient data mining using rough sets
VS Ananthanarayana, MN Murty, DK Subramanian
Pattern Recognition Letters 24 (6), 851-862, 2003
1012003
Comparison of genetic algorithm based prototype selection schemes
TR Babu, MN Murty
Pattern Recognition 34 (2), 523-525, 2001
962001
Rough set based incremental clustering of interval data
S Asharaf, MN Murty, SK Shevade
Pattern Recognition Letters 27 (6), 515-519, 2006
932006
An adaptive rough fuzzy single pass algorithm for clustering large data sets
S Asharaf, MN Murty
Pattern Recognition 36 (12), 3015-3018, 2003
812003
Rough support vector clustering
S Asharaf, SK Shevade, MN Murty
Pattern Recognition 38 (10), 1779-1783, 2005
692005
Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks
MN Murty, R Raghava
Springer, 2016
66*2016
A computationally efficient technique for data-clustering
MN Murty, G Krishna
Pattern Recognition 12 (3), 153-158, 1980
641980
Multiclass core vector machine
S Asharaf, MN Murty, SK Shevade
Proceedings of the 24th international conference on Machine learning, 41-48, 2007
562007
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