Most Efficient Reclassification Triangles of Landmarks After Statistical Alignment

Jean-Pierre Dujardin's dataset contains reclassification accuracy scores for biological landmarks after different alignment methods. The data is stored in a 9.5 KB Excel file and was last updated on June 2, 2026. It includes scores for landmarks from multiple species, such as sawadwongporni, pseudowillmori, and gambiensis.

Use Cases

• Compare the performance of least-square, resistant-fit, and random search alignment methods based on reclassification accuracy.
• Analyze the effect of chance adjustment on classification scores based on the 'without/with' adjustment scores.
• Evaluate landmark reclassification efficiency across different biological operators (J, T, B, TA) and sexes (M, F).
• Benchmark classification algorithms using accuracy scores computed from total landmarks versus specific subsets.

Strengths

• Dataset is small (9.5 KB), facilitating quick download and inspection.
• Provides specific accuracy scores for three distinct alignment methods (LS, RF, Ra).
• Includes results for multiple biological species and operators, suggesting comparative analysis potential.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Likely contains computed reclassification accuracies from landmark alignment experiments.

Freshness

Last updated 2026-06-02 17:41:49