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Classification: Astronomical and Mathematical Overview

Published online by Cambridge University Press:  26 July 2016

F. Murtagh
F. Murtagh*
Affiliation:
Space Telescope - European Coordinating Facility, European Southern Observatory, Karl-Schwarzschild-Straße 2, D-85748 Garching, Germany

Extract

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A short overview is presented of a number of different discriminant analysis methods. An ‘uncertainty principle’ is presented in regard to the issue of user choice of appropriate method. The discriminant analysis methods described are then used in the important problem of feature selection. A hand-classified set of HST Guide Star plate data is used, with star/galaxy/fault classes.

Type
Part Five: Image Detection, Cataloguing and Classification
Information
Symposium - International Astronomical Union , Volume 161: Astronomy from Wide-Field Imaging , 1994 , pp. 227 - 233
Copyright
Copyright © Kluwer 1994 

References

Duda, R.O. and Hart, P.E., 1973. ‘Pattern Classification and Scene Analysis’, Wiley, New York.Google Scholar
Geman, S., Bienenstock, E. and Doursat, R., 1992. ‘Neural networks and the bias/variance dilemma’, Neural Computation, 4, 1.CrossRefGoogle Scholar
Haralick, R.M., Shanmugam, K and Dinstein, I., 1973. ‘Textural features for image classification’, IEEE Transactions on Systems, Man and Cybernetics, SMC-3, p. 610.CrossRefGoogle Scholar
Lippmann, R.P., 1987. ‘An introduction to computing with neural nets’, IEEE ASSP Magazine, April, 4.CrossRefGoogle Scholar
Malagnini, M.L., 1983. ‘A classification algorithm for star/galaxy counts’, Proc. Statistical Methods in Astronomy, ESA SP-201, 69.Google Scholar
Murtagh, F., 1992. ‘The multilayer perceptron for discriminant analysis: two examples’, in Analyzing and Modelling Data and Knowledge, ed. Schader, M., Springer-Verlag, Berlin, p. 305.CrossRefGoogle Scholar
Ripley, B.D., 1993a. ‘Statistical aspects of neural networks’, in Networks and Chaos — Statistical and Probabilistic Aspects, eds Barndorff-Nielsen, O.E., Jensen, J. L. and Kendall, W. S., Chapman and Hall, London.Google Scholar
Ripley, B.D., 1993b. ‘Neural networks and related methods for classification’, manuscript.Google Scholar