Applied Mathematics

Applied Mathematics

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org
"Automatic Clustering Using Teaching Learning Based Optimization"
written by M. Ramakrishna Murty, Anima Naik, J. V. R. Murthy, P. V. G. D. Prasad Reddy, Suresh C. Satapathy, K. Parvathi,
published by Applied Mathematics, Vol.5 No.8, 2014
has been cited by the following article(s):
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[1] Optimized Concurrent Error Detectable Adder
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[2] Nature-inspired metaheuristic techniques for automatic clustering: a survey and performance study
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[3] Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature
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[4] Word Sense Disambiguation in Telugu Language Using Knowledge-Based Approach
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[5] Modeling Performance of Foam-CO2 Reservoir Flooding with Hybrid Machine-learning Models Combining a Radial Basis Function and Evolutionary Algorithms
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[6] A Hybrid Intelligent Framework for Thyroid Diagnosis
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[7] Automatic Data Clustering Using Hybrid Firefly Particle Swarm Optimization Algorithm
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[8] Synthesis of phase-only position optimized reconfigurable uniformly excited linear antenna arrays with a single null placement
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[9] Performance Analysis of Partition and Evolutionary Clustering Methods on Various Cluster Validation Criteria
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[10] Chaos synchronization using higher-order adaptive PID controller
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[11] A Survey of Teaching–Learning-Based Optimization
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[12] Performance Analysis of Partition and Evolutionary Clustering Methods on Various Cluster Validation Criteria.
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[13] Integration of evolutionary computation algorithms and new AUTO-TLBO technique in the speaker clustering stage for speaker diarization of broadcast news
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[14] Watershed Image Analysis using PSO-CA hybrid approach
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[15] 改进的精英教学优化算法及其在甲醇合成优化中的应用
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[16] Improved predictions of wellhead choke liquid critical-flow rates: modelling based on hybrid neural network training learning based optimization
Fuel, 2017
[17] Primene nekih modifikacija metode promenljivih okolina u klasterovanju
2016
[18] Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems
Decision Science Letters, 2016
[19] A New Clustering Algorithm for Face Classification
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[20] Variable strategy ensemble artificial bee colony algorithm for automatic data clustering
ICIA 2016 Proceedings of the International Conference on Informatics and Analytics, 2016
[21] A multi-objective approach to fuzzy clustering using ITLBO algorithm
2016
[22] A Collaborative Learning Model in Teaching-Learning-Based Optimization: Some Numerical Results
Bio-inspired Computing – Theories and Applications, 2016
[23] Teaching-Learning-Based Optimization State-of-the-Art
2015
[24] A short study in formulation of TLBO and its synergized applications with clustering
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in, 2015
[25] Simultaneous Placement of TCSC and UPFC in Transmission System using Teaching-Learning Based Optimization Technique
History, 2015
[26] Automatic Teaching–Learning-Based Optimization: A Novel Clustering Method for Gene Functional Enrichments
Computational Intelligence Techniques for Comparative Genomics, 2015
[27] Partition Based Clustering Using Genetic Algorithm and Teaching Learning Based Optimization: Performance Analysis
Emerging ICT for Bridging the Future-Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 2, 2015
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