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An Updated Efficient Galaxy Morphology Classification Model Based on ConvNeXt Encoding with UMAP Dimensionality Reduction

  • Authors: Guanwen Fang, Shiwei Zhu, Jun Xu, Shiying Lu, Chichun Zhou, Yao Dai, Zesen Lin, Xu Kong

Guanwen Fang et al 2026 The Astronomical Journal 171 .

  • Provider: AAS Journals

Caption: Figure 4.

Schematic diagram of UML clustering process, including extracting key features from image data using ConvNeXt in step (a), reducing dimensionality and remove redundant image information via UMAP in step (b), providing a detailed example of the feature extraction and dimensionality reduction process in step (c), and adopting a voting based on Bagging clustering model mechanism in step (d).

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