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English(EN) BioArtlas: Computational Clustering of Multi-Dimensional Complexity in Bioart

BioArtlas 计算工具绘制复杂生物艺术领域图谱

作者 PulseAugur 编辑部 · [1 个来源] ·

Joonhyung Bae 开发了 BioArtlas，一个旨在组织和分析生物艺术领域的计算工具。该图谱跨越多个精选维度来呈现生物艺术作品，能够基于概念相似性而非媒介或年代等传统类别进行比较。BioArtlas 使用凝聚聚类，达到了 0.664 的轮廓系数，显著优于将该领域划分为不同簇的常见 k-means 基线 0.483。该项目旨在将生物艺术的复杂景观转化为一个可导航的空间，提供交互式界面和开放数据集。 AI

排序理由 该簇描述了一种分析特定艺术领域的新计算方法和数据集，以一篇 arXiv 研究论文的形式呈现。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

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BioArtlas 计算工具绘制复杂生物艺术领域图谱

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该簇描述了一种分析特定艺术领域的新计算方法和数据集，以一篇 arXiv 研究论文的形式呈现。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

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

    BioArtlas：生物艺术中多维复杂性的计算聚类

    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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