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
176771999
Genetic K-means algorithm
K Krishna, MN Murty
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 29 …, 1999
13221999
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
4422010
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
2561993
Clustering with evolution strategies
GP Babu, MN Murty
Pattern recognition 27 (2), 321-329, 1994
2211994
SimpleSVM
SVN Vishwanathan, AJ Smola, MN Murty
Proceedings of the Twentieth International Conference on International …, 2003
1542003
An incremental prototype set building technique
VS Devi, MN Murty
Pattern Recognition 35 (2), 505-513, 2002
1162002
Off-line signature verification using genetically optimized weighted features
VE Ramesh, MN Murty
Pattern recognition 32 (2), 217-233, 1999
1151999
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
1122004
SSVM: a simple SVM algorithm
SVM Vishwanathan, MN Murty
Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002
1102002
Tree structure for efficient data mining using rough sets
VS Ananthanarayana, MN Murty, DK Subramanian
Pattern Recognition Letters 24 (6), 851-862, 2003
1012003
Rough set based incremental clustering of interval data
S Asharaf, MN Murty, SK Shevade
Pattern Recognition Letters 27 (6), 515-519, 2006
972006
Comparison of genetic algorithm based prototype selection schemes
TR Babu, MN Murty
Pattern Recognition 34 (2), 523-525, 2001
952001
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
682005
A computationally efficient technique for data-clustering
MN Murty, G Krishna
Pattern Recognition 12 (3), 153-158, 1980
641980
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
562007
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