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Explainable dimensionality reduction (XDR) to unbox AI ‘black box’ models: A study of AI perspectives on the ethnic styles of village dwellings

Interdisciplinary Studies

Explainable dimensionality reduction (XDR) to unbox AI ‘black box’ models: A study of AI perspectives on the ethnic styles of village dwellings

X. Li, D. Chen, et al.

Discover a revolutionary explainable Dimensionality Reduction (XDR) framework that transforms high-dimensional AI knowledge into clear insights! With a compelling case study on ethnic styles of village dwellings in Guangdong, China, led by Xun Li, Dongsheng Chen, Weipan Xu, Haohui Chen, Junjun Li, and Fan Mo, this research highlights pivotal features that enhance our understanding of culture and architecture.

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