Mann-Whitney U Test Results for Topological Analysis of Abstract Paintings

5.5 KB of statistical test results from a study applying persistent homology to analyze abstract paintings. The dataset, authored by Emil Dmitruk and shared on figshare under CC-BY-4.0, compares two sets of images based on viewer eye tracking, brain activity, and subjective experience. It was last updated on May 14, 2026.

Use Cases

• Validate a topological analysis method based on its ability to distinguish between two sets of abstract paintings.
• Correlate topological image features with gaze fixation heat maps derived from eye-tracking data.
• Investigate the violation of Alexander duality as a potential metric for distinguishing artistic images from pseudo-art.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• The description provides a clear research context linking computational topology to art perception.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset's scope is limited to the specific test results from the described study.

Provenance

Source

figshare

Collection Method

Results of Mann-Whitney U tests from a research study analyzing abstract paintings with persistent homology.

Freshness

Last updated 2026-05-14 17:40:34; freshness should be verified.