Fuzzy and SVM Based Classification Model to Classify Spectral Objects in Sloan Digital Sky
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DOI: 10.1109/access.2022.3207480
Abstract: The Sloan Digital Sky Survey (SDSS) comprises about one billion objects classified spectrometrically. Because astronomical datasets are so enormous, manually classifying them is nearly impossible—a huge dataset results in class imbalance and overfitting. We recommend… read more here.
Keywords: svm based; sloan digital; model; fuzzy svm ... See more keywords