HSC: A multi-resolution clustering strategy in Self-Organizing Maps applied to astronomical observations

Applied Soft Computing Journal

Volumn 12, Issue 1, 2012, Pages 204-215

  Ordonez D ^a   Dafonte, C ^a   Arcay, B ^a   Manteiga, M ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Astronomical datamining; Clustering technique; ESA Gaia mission; Self Organizing Map

Indexed keywords

ASTRONOMICAL OBJECTS; ASTRONOMICAL OBSERVATION; AUTOMATIC CLASSIFICATION; CLASSIFICATION PRECISION; CLUSTERING TECHNIQUES; EUROPEAN SPACE AGENCY; GAIA MISSION; GAIA SATELLITE; HIERARCHICAL STRUCTURES; ITERATIVE SEGMENTATION; MULTI-RESOLUTION CLUSTERING; MULTIPLE OBJECTS; REFINING PROCESS; SOM NETWORKS; STATISTICAL CLASSIFICATION; UNSUPERVISED NEURAL NETWORKS;

CONFORMAL MAPPING; SELF ORGANIZING MAPS; TREES (MATHEMATICS);

CLUSTERING ALGORITHMS;

EID: 81155122947     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.08.052     Document Type: Article

References (37)

1. Bailer-Jones C.A.L., Smith K.W., Tiede C., Sordo R., and Vallenari A. Finding rare objects and building pure samples, probabilistic quasar classification from low resolution Gaia spectra Mon. Not. R. Astronom. Soc. 2008
2. Bezdek J.C. Pattern Recognition with Fuzzy Objective Function Algorithms 1981 Kluwer Academic Publishers Norwell, MA, USA
3. Borne K.D. Data mining in astronomical databases Min. Sky 2000 671
4. Brett D.R., West R.G., and Wheatley P.J. The automated classification of astronomical lightcurves using Kohonen self-organising maps Mon. Not. R. Astronom. Soc. 353 2004 369 376 (Pubitemid 39234252)
5. Bringer M., and Boër M. An automatic astronomical classifier based on topological neural networks Manset N. Veillet C. Crabtree D. Astronomical Data Analysis Software and Systems. Astronomical Society of the Pacific Conference Series, Vol. 126 2000 640
6. J.M. Carrasco, Diseño y Caracterización del sistema Fotmétrico de la Misión Gaia de la Agencia Espacial Europea. University of Barcelona. Ph.D. dissertation, October 2006.
7. Corbally C., Bailer-Jones C.A.L., Giridhar S., and Lloyd Evans T. Exploiting large surveys for Galactic Astronomy Mem. Soc. Astronom. Ital. 77 4 2006
8. Djorgovski S.G., Donalek C., Mahabal A., Williams R., Drake A.J., Graham M.J., and Glikman E. Some pattern recognition challenges in data-intensive astronomy Int. Conf. Pattern Recogn. 1 2006 856 863 (Pubitemid 46532035)
9. Duda R.O., and Hart P.E. Pattern Classification and Scene Analysis 1973 John Wiley and Sons
10. Dunn J.C. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters J. Cybern. 3 1973 32 57
11. Etoka S., Fuller G.A., Wicenec A., Williams S.J., Meuss H., and Hill N. A look at the ALMA science archive Astronom. Soc. Pacif. Conf. Ser. 404 2006 324
12. Eyer L. Astronomical databases, space photometry and time series analysis: open questions Astrophys. Variable Stars 349 2006 15
13. Fisher R.A. The use of multiple measurements in taxonomic problems Annu. Eugen. 7 Part II 1936 179 188
14. Gutiérrez R., Rodrigo C., and Solano E. The Spanish virtual observatory (SVO) Astronomical Data Analysis Software and Systems XV ASP Conference Series, Vol. 351 2005 p. 19
15. Hernandez-Pajares M., and Floris J. Classification of the HIPPARCOS input catalogue using the Kohonen network Mon. Not. R. Astronom. Soc. 268 1994 444
16. Herrero J., Valencia A., and Dopazo J. A hierarchical unsupervised growing neural network for clustering gene expression patterns Bioinformatics 17 2001 126 136 (Pubitemid 32208521)
17. Howard Demuth, and Mark Beale Neural network toolbox: for use with MATLAB: user's guide Mathworks 1993
18. Kohonen T. Analysis of a simple self-organizing process Biol. Cybern. 44 1982 135 140 (Pubitemid 12045888)
19. Kohonen T. Self-organization and associative memory 1989 Springer-Verlag New York, Inc. New York
20. Kohonen T. Self Organizing Maps Third, Extended Edition 2001 1995 Springer Berlin
21. Koikkalainen P., and Oja E. Self-organizing hierarchical feature maps Proceedings of the IJCNN-90-Wash-DC, International Joint Conference on Neural Networks, Vol. II Piscataway, NJ 1990 279 285
22. Koikkalainen P. Progress with the tree-structured self-organizing map Proceedings of ECAI'94, 11th European Conference on Artificial Intelligence New York 1994 211 215
23. Koua E., and Kraak M.J. Geovisualization to support the exploration of large health and demographic survey data Int. J. Health Geogr. 3 2004 12
24. Longo G., Donalek C., Raiconi G., Staiano A., Tagliaferri R., Pasian F., Sessa S., Smareglia R., and Volpicelli A. Artificial intelligence tools for data mining in large astronomical databases Toward Int. Virtual Observ. 2004 202
25. Mähönen P.H., and Hakala P.J. Automated source classification using a Kohonen network Astrophys. J. Lett. 452 1 1995 L77
26. Masana E., Iasi Y., Luri X., Peralta J., and Sauvage V. The Gaia simulator: design and results Astrophysics and Space Science Proceedings 2010 Springer Verlag Berlin/Heidelberg p. 515, ISBN: 978-3-642-11249-2
27. Mignard F., Hestroffer D., Mouret S., Berthier, and Tanga P. Reference frame linking and tests of GR with Gaia astrometry of asteroids IAU Symposium, from Milli- to Micro-arcsecond Astrometry. Vol. 248 Cambridge 2008 266 267
28. Miller A.S., and Coe M.J. Star/galaxy classificatin using Kohonen self-organizing maps Mon. Not. R. Astronom. Soc. 279 1996 293 300 (Pubitemid 126430343)
29. Molinari E., and Smareglia R. Neural network method for galaxy classification: the luminosity function E/S0 in clusters Astron. Astrophys. 330 1998 447 452 (Pubitemid 128550655)
30. Ordó nez D., Dafonte C., Manteiga M., and Arcay B. Parameterization of RVS synthetic stellar spectra for the ESA Gaia mission: study of the optimal domain for ANN training Expert Syst. Appl. 37 2 2009 1719 1727
31. Perryman M.A.C. Astrometry in the age of the next generation of large telescopes ASP Conference Series, Vol. 338 2005 3
32. Robin A.C., Reylé(c) C., and Grux E. The Gaia DPAC: Simulating Gaia Observations Using a "Universe Model" Heydari-Malayeri M. Reylé C. Samadi R. SF2A-2009: Proceedings if the Annual Meeting of the French Society of Astronomy and Astrophysics 2009 p. 29
33. Sauvage V. The T-SOM (Tree-SOM). Advanced Topics in Artificial Intelligence, vol. 1342 1997 Springer Berlin/Heidelberg pp. 389-397
34. Smith K., Tiede C., Elting C., and Bailer-Jones C.A.L. Automated classification of Gaia sources Astronomical Data Analysis Software and Systems (ADASS) XVII, Vol. 394 2008 539
35. Solano E. The GTC scientific data centre Revista Mexicana de Astronomia y Astrofisica Conference Series, Vol. 24 2005 35 39
36. Thakar A.R., Szalay A.S., Kunszt P.Z., and Gray J. The Sloan digital sky survey science archive: migrating a multi-terabyte astronomical archive from object to relational DBMS ArXiv Computer Science e-prints 2004
37. Zadeh L.A. Fuzzy sets Information and Control 8 1965 338 353