Summary
In this paper, we propose a new approach to Principal Component Analysis, for interval-valued data. On the basis of the interval arithmetic we show that any continuous interval can be expressed in terms of a midpoint (location) and of a radius (variation). Moving from this result, we propose a well suited factorial analysis, which exploits this characteristic of interval data. Both the location and variation information are represented on maps.
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© 2003 Springer Japan
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Palumbo, F., Lauro, C.N. (2003). A PCA for interval-valued data based on midpoints and radii. In: Yanai, H., Okada, A., Shigemasu, K., Kano, Y., Meulman, J.J. (eds) New Developments in Psychometrics. Springer, Tokyo. https://doi.org/10.1007/978-4-431-66996-8_74
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DOI: https://doi.org/10.1007/978-4-431-66996-8_74
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-66998-2
Online ISBN: 978-4-431-66996-8
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