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BioArtlas computational tool maps complex bioart field

By PulseAugur Editorial · [1 sources] ·

Joonhyung Bae has developed BioArtlas, a computational tool designed to organize and analyze the field of bioart. This atlas represents bioartworks across multiple curated dimensions, enabling comparison based on conceptual similarity rather than traditional categories like medium or chronology. BioArtlas utilizes agglomerative clustering, achieving a silhouette score of 0.664, which significantly outperforms the common k-means baseline of 0.483 in separating the field into distinct clusters. The project aims to transform the complex landscape of bioart into a navigable space, providing both an interactive interface and an open dataset. AI

RANK_REASON The cluster describes a new computational method and dataset for analyzing a specific artistic field, presented as a research paper on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

BioArtlas computational tool maps complex bioart field

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The cluster describes a new computational method and dataset for analyzing a specific artistic field, presented as a research paper on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Joonhyung Bae ·

    BioArtlas: Computational Clustering of Multi-Dimensional Complexity in Bioart

    arXiv:2511.19162v3 Announce Type: replace-cross Abstract: Bioart brings living material into artistic practice, where a single work can be at once an aesthetic object, a scientific instrument, and an ethical provocation. Traditional categories sort such works along one axis at a …

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