Automatic Clustering Using Teaching Learning Based Optimization

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Applied Mathematics

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

Google-based Impact Factor: 0.96
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"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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[7]	Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature
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[8]	Word Sense Disambiguation in Telugu Language Using Knowledge-Based Approach
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[9]	Modeling Performance of Foam-CO2 Reservoir Flooding with Hybrid Machine-learning Models Combining a Radial Basis Function and Evolutionary Algorithms
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[10]	Unstructured Data Clustering Using Hybrid KMeans And Grasshopper Optimization Algorithm (Kmeans-GOA)
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[14]	Performance Analysis of Partition and Evolutionary Clustering Methods on Various Cluster Validation Criteria
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[15]	Chaos synchronization using higher-order adaptive PID controller
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[16]	A Survey of Teaching–Learning-Based Optimization
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[17]	Performance Analysis of Partition and Evolutionary Clustering Methods on Various Cluster Validation Criteria.
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[18]	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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[19]	Watershed Image Analysis using PSO-CA hybrid approach
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[20]	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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[21]	Improved predictions of wellhead choke liquid critical-flow rates: modelling based on hybrid neural network training learning based optimization
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[22]	Primene nekih modifikacija metode promenljivih okolina u klasterovanju
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[23]	Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems
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[24]	A New Clustering Algorithm for Face Classification
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[25]	Variable strategy ensemble artificial bee colony algorithm for automatic data clustering
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[26]	A multi-objective approach to fuzzy clustering using ITLBO algorithm
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[27]	A Collaborative Learning Model in Teaching-Learning-Based Optimization: Some Numerical Results
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[28]	Teaching-Learning-Based Optimization State-of-the-Art
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[29]	A short study in formulation of TLBO and its synergized applications with clustering
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[30]	Simultaneous Placement of TCSC and UPFC in Transmission System using Teaching-Learning Based Optimization Technique
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[31]	Automatic Teaching–Learning-Based Optimization: A Novel Clustering Method for Gene Functional Enrichments
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[32]	Partition Based Clustering Using Genetic Algorithm and Teaching Learning Based Optimization: Performance Analysis
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[1]	Chaos teaching learning based algorithm for large‐scale global optimization problem and its application Concurrency and Computation: Practice and Experience, 2022 DOI:10.1002/cpe.6514

[2]	Medical Data Clustering and Classification Using TLBO and Machine Learning Algorithms Computers, Materials & Continua, 2022 DOI:10.32604/cmc.2022.021148

[3]	Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature Neural Computing and Applications, 2021 DOI:10.1007/s00521-020-05395-4

[4]	Nature-inspired metaheuristic techniques for automatic clustering: a survey and performance study SN Applied Sciences, 2020 DOI:10.1007/s42452-020-2073-0

[5]	Proceedings of the Third International Conference on Computational Intelligence and Informatics Advances in Intelligent Systems and Computing, 2020 DOI:10.1007/978-981-15-1480-7_13

[6]	Automatic Data Clustering Using Hybrid Firefly Particle Swarm Optimization Algorithm IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2960925

[7]	Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health Communications in Computer and Information Science, 2019 DOI:10.1007/978-981-15-1925-3_32

[8]	Synthesis of phase-only position optimized reconfigurable uniformly excited linear antenna arrays with a single null placement Journal of King Saud University - Engineering Sciences, 2019 DOI:10.1016/j.jksues.2019.04.005

[9]	Chaos synchronization using higher-order adaptive PID controller AEU - International Journal of Electronics and Communications, 2018 DOI:10.1016/j.aeue.2018.07.005

[10]	A survey of teaching–learning-based optimization Neurocomputing, 2018 DOI:10.1016/j.neucom.2018.06.076

[11]	Improved predictions of wellhead choke liquid critical-flow rates: Modelling based on hybrid neural network training learning based optimization Fuel, 2017 DOI:10.1016/j.fuel.2017.06.131

[12]	Integration of evolutionary computation algorithms and new AUTO-TLBO technique in the speaker clustering stage for speaker diarization of broadcast news EURASIP Journal on Audio, Speech, and Music Processing, 2017 DOI:10.1186/s13636-017-0117-1

[13]	Bio-inspired Computing – Theories and Applications Communications in Computer and Information Science, 2016 DOI:10.1007/978-981-10-3611-8_42

[14]	Variable strategy ensemble artificial bee colony algorithm for automatic data clustering Proceedings of the International Conference on Informatics and Analytics, 2016 DOI:10.1145/2980258.2980344

[15]	Variable strategy ensemble artificial bee colony algorithm for automatic data clustering Proceedings of the International Conference on Informatics and Analytics, 2016 DOI:10.1145/2980258.2980344

[16]	Variable strategy ensemble artificial bee colony algorithm for automatic data clustering Proceedings of the International Conference on Informatics and Analytics, 2016 DOI:10.1145/2980258.2980344

[17]	Computational Intelligence Techniques for Comparative Genomics SpringerBriefs in Applied Sciences and Technology, 2015 DOI:10.1007/978-981-287-338-5_2

[18]	A short study in formulation of TLBO and its synergized applications with clustering 2015 International Conference on Advances in Computer Engineering and Applications, 2015 DOI:10.1109/ICACEA.2015.7164760

[19]	Computational Intelligence Techniques for Comparative Genomics SpringerBriefs in Applied Sciences and Technology, 2015 DOI:10.1007/978-981-287-338-5_2

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