Galaxy Zoo: Reproducing Galaxy Morphologies Via Machine Learning
We present morphological classifications obtained using machine learning for objects in SDSS DR6 that have been classified by Galaxy Zoo into three classes, namely early types, spirals and point sources/artifacts. An artificial neural network is trained on a subset of objects classified by the human...
| Главные авторы: | , , , , , , , , , , , , |
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| Формат: | Journal article |
| Язык: | English |
| Опубликовано: |
2009
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