AGE Algorithm Tuning Parameters for Four Pucker-Pair HD Data Sets

Henrik Wiechers published a 5.5 KB Excel file on figshare in May 2026. The file contains the specific tuning parameters required to run the AGE algorithm on four different pucker-pair HD data sets. Parameters include the relative branching distance, minimal cluster size, and maximum outlier distance.

Use Cases

• Tuning the AGE clustering algorithm based on the described relative branching distance parameter.
• Identifying small clusters in biological data based on the minimal cluster size parameter.
• Setting outlier thresholds for cluster analysis based on the maximum outlier distance parameter.
• Comparing algorithm performance across different data sets using the provided parameter sets.

Strengths

• Parameters are explicitly defined for four distinct data sets.
• The minimal cluster size parameter is set to a specific value to identify clusters with very few elements.
• The file is licensed under CC-BY-4.0 for open reuse.

Limitations

• The dataset is very small (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

Freshness

Last updated 2026-05-08 17:49:22; freshness should be verified.