Discrete Source Classifier: Benchmarking Experiments with Cycle 2A Data
نویسنده
چکیده
This documents describes DSC benchmarking experiments using cycle 2A data. We investigated classification algorithms based on boosting, neural networks, mixture clustering and radial basis function networks. Two different magnitudes were used (17 and 20). Moreover classification was done with astrometry as well as without. Gaia DPAC: CU8-DU-MPIA DSC Benchmarking GAIA-C8-TN-MPIA-CE-001-01
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