1. Home
  2. Issues
  3. Volume 19, Issue 1 (2008)
  4. Hierarchical Adaptive Clustering

Informatica


Cited by 13
Hierarchical Adaptive Clustering

2015 International Conference on Information and Communication Technology Research (ICTRC)
Valery Sklyarov, Iouliia Skliarova, Joao Silva, Alexander Sudnitson, Artjom Rjabov
https://doi.org/10.1109/ICTRC.2015.7156457
Conference:  (2015), p. 202
Automatically Determining the Number of Clusters Using Decision-Theoretic Rough Set
Hong Yu, Zhanguo Liu, Guoyin Wang
https://doi.org/10.1007/978-3-642-24425-4_65
Book:  Lecture Notes in Computer Science (Rough Sets and Knowledge Technology) Volume 6954 (2011), p. 504
2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP)
Adela Sirbu, Maria Iuliana Bocicor
https://doi.org/10.1109/ICCP.2013.6646072
Conference:  (2013), p. 3
9th IEEE International Conference on Cognitive Informatics (ICCI'10)
Hong Yu, Shuangshuang Chu, Dachun Yang
https://doi.org/10.1109/COGINF.2010.5599691
Conference:  (2010), p. 477
2013 IEEE International Conference on Computational Intelligence and Computing Research
A. M. Rajee, F. Sagayaraj Francis
https://doi.org/10.1109/ICCIC.2013.6724194
Conference:  (2013), p. 1
Autonomous Knowledge-Oriented Clustering Using Decision-Theoretic Rough Set Theory
Hong Yu, Shuangshuang Chu, Dachun Yang
https://doi.org/10.1007/978-3-642-16248-0_93
Book:  Lecture Notes in Computer Science (Rough Set and Knowledge Technology) Volume 6401 (2010), p. 687
A hybrid strategy for krill herd algorithm with harmony search algorithm to improve the data clustering𝟏
Laith Mohammad Abualigah, Ahamad Tajudin Khader, Essam Said Hanandeh, Pandian Vasant, Utku Kose
https://doi.org/10.3233/IDT-170318
Journal:  Intelligent Decision Technologies Volume 12, Issue 1 (2018), p. 3
An automatic method to determine the number of clusters using decision-theoretic rough set
Hong Yu, Zhanguo Liu, Guoyin Wang
https://doi.org/10.1016/j.ijar.2013.03.018
Journal:  International Journal of Approximate Reasoning Volume 55, Issue 1 (2014), p. 101
Bio-inspired model of ground temperature behavior on the horizontal geothermal exchanger of an installation based on a heat pump
J.L. Casteleiro-Roca, J.L. Calvo-Rolle, M.C. Meizoso-López, A.J. Piñón-Pazos, B.A. Rodríguez-Gómez
https://doi.org/10.1016/j.neucom.2014.02.075
Journal:  Neurocomputing Volume 150 (2015), p. 90
Building Inter Cluster Movement Estimation (ICME) Model-A Step by Step Approach
A.M. Rajee, F. Sagayaraj Francis
https://doi.org/10.1016/j.procs.2015.02.013
Journal:  Procedia Computer Science Volume 46 (2015), p. 210
Hierarchical Clustering Algorithm of the Minimum Risk
De Xing Wang, Jie Long Xu, Hong Chun Yuan
https://doi.org/10.4028/www.scientific.net/AMM.333-335.1410
Journal:  Applied Mechanics and Materials Volume 333-335 (2013), p. 1410
Improving database performance with a mixed fragmentation design
Narasimhaiah Gorla, Vincent Ng, Dik Man Law
https://doi.org/10.1007/s10844-012-0203-x
Journal:  Journal of Intelligent Information Systems Volume 39, Issue 3 (2012), p. 559
Spatial clustering strategies for hierarchical multi-scale modelling of metal plasticity
M Khairullah, J Gawad, D Roose, A Van Bael
https://doi.org/10.1088/1361-651X/aa80f8
Journal:  Modelling and Simulation in Materials Science and Engineering Volume 25, Issue 7 (2017), p. 074003


Share


RSS