Reclassification Accuracy of Tsetse Fly Landmarks After Different Alignment Methods

A 5.5 KB Excel dataset contains reclassification accuracy statistics for tsetse fly landmarks. The data compares results from least-square alignment, resistant-fit alignment, and random search methods, using either 11 landmarks or a subset of 8. It was authored by Jean-Pierre Dujardin and last updated on June 2, 2026.

Use Cases

• Comparing the performance of least-square vs. resistant-fit alignment methods based on reclassification accuracy.
• Evaluating the impact of removing problematic landmarks on classification results.
• Benchmarking random search algorithms for landmark alignment tasks.

Strengths

• Directly compares three distinct alignment methods (LS, RF, Ra).
• Provides analysis for two landmark configurations (full set of 11 and a subset of 8).
• Includes data from two operator annotations (Berte and TA) for comparative analysis.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Likely contains statistical results from landmark alignment experiments on tsetse fly specimens.

Freshness

Last updated 2026-06-02 17:41:51; freshness should be verified.