Seite - 360 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 396
Figure8.Silhouettes.
It canbe seen that, apart froma fewoutliers, the twoclutters arewell classifiedand that the
algorithmwasable todistinguishbetweentwozonesofdifferentDopplercharacteristics.
Wethentestouralgorithmonreal seaclutterdata (seeFigures9–11).
Figure9.Autoregressivespectrum.
360
Differential Geometrical Theory of Statistics
- Titel
- Differential Geometrical Theory of Statistics
- Autoren
- Frédéric Barbaresco
- Frank Nielsen
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2017
- Sprache
- englisch
- Lizenz
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03842-425-3
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 476
- Schlagwörter
- Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
- Kategorien
- Naturwissenschaften Physik