Predicting Galaxy Morphology Classifications
نویسنده
چکیده
I implement several DSP technique: FFT, Wiener Filter, convolution to preprocess the galaxy images and use some machine learning theories to learn and predict hand-made galaxy morphology classifications. My data and success metric are taken from a recent Kaggle competition “Galaxy Zoo The Galaxy Challenge”. I focus on three sequential algorithm modules: image analysis, data compression, and machine learning. I find that my approach performs with moderate success, though not as accurately as the approaches used by top competitors. Keywords—galaxy, wiener filter, decision tree, linear
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