Abstract
A method for visual clustering of large N-dimensional data sets is presented briefly. Its implementation on HP/Convex SPP/1600 enables visualization of data sets consisting of more than 104 multidimensional data vectors. The method was tested in PVM, MPI and data parallel environments. In the paper, the authors compare the parallel algorithm performance for these three interfaces. The results of tests, made to exemplify the algorithm “immunity” from data errors, are presented and discussed.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
Jain, D., and Dubes, R.,C., 1988, Algorithms for Clustering Data, Prentice-Hall Advanced Reference Series, 37–46.
Dzwinel, W., 1994, “How to Make Sammon's Mapping Useful for Multidimensional Data Structures Analysis?”, Pattern Recogn., 27, 7, 949–959.
Dzwinel, W., and Błasiak, J., 1995, “Pattern Recognition via Molecular Dynamics on Vector Supercomputers and Networked Workstations”, Lecture Notes in Computer Science, HPCN'95, 919, 508, Springer-Verlag, Berlin 1995.
Siedlecki, W., Siedlecka, K., and Sklanski, J., 1988, “An Overview of Mapping for Exploratory Pattern Analysis”, Pattern Recogn., 21, 5, 411.
Siedlecki, W., Siedlecka, K., and Sklanski, J., 1988, “Experiments on Mapping Techniques for Exploratory Pattern Analysis”, Pattern Recogn., 21, 5, 431.
Dzwinel, W., 1995, “In Search for the Global Minimum in Problems of Features Extraction and Selection”, Proc. of the 3 Congress on Intelligent Techniques and Soft Computing, EUFIT'95, 28–31 August 1995, Aachen, 3, 1326.
Dzwinel, W., 1997, “Virtual Particles and Search for Global Minimum”, Future Generation Computer Systems, 12, 371–389.
Brode, S., and Ahlrichs, R., 1986, “An Optimized MD Program for the Vector Computer CYBER-205”, Comput. Phys. Commun., 42, 51.
Dzwinel, W., Pepyolyshev, Yu., N., Jirsa, P., and Rejchrt, J., 1995, “Comparison of Noise Diagnostic System Based on Pattern Recognition and Discriminant Methods”, Annals of Nuclear Energy, 22, 8, 543–551.
Dzwinel, J., Dzwinel, K., and Dzwinel, W., 1996, “Pattern Recognition Methods Implemented in MEGA-D — the System for Oil and Gas Prospecting”, Proc. of the Second International Conference on Application of Fuzzy Systems and Soft Computing, ICAFS'96, 25–27 June 1996, Siegen, Germany.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Błasiak, J., Dzwinel, W. (1998). Visual clustering of multidimensional and large data sets using parallel environments. In: Sloot, P., Bubak, M., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1998. Lecture Notes in Computer Science, vol 1401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0037167
Download citation
DOI: https://doi.org/10.1007/BFb0037167
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64443-9
Online ISBN: 978-3-540-69783-1
eBook Packages: Springer Book Archive