An unsupervised pipeline using ConvNeXt encoding, PCA, and multi-model voting classifies about 53% of COSMOS galaxies into 20 clusters, later merged into five morphology types.
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An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model
An unsupervised pipeline using ConvNeXt encoding, PCA, and multi-model voting classifies about 53% of COSMOS galaxies into 20 clusters, later merged into five morphology types.