A multi-parameter fuzzy classification using sigmoidal membership functions derived from Gaussian mixture models on SDSS data yields less contaminated red and green-valley samples with clearer physical trends than hard-boundary methods.
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A Multi-parameter Fuzzy Set Framework for Classifying Red, Blue, and Green Valley Galaxies
A multi-parameter fuzzy classification using sigmoidal membership functions derived from Gaussian mixture models on SDSS data yields less contaminated red and green-valley samples with clearer physical trends than hard-boundary methods.
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The Pan-STARRS1 Surveys
Pith review generated a malformed one-line summary.