Mean Entropy-Based Clustering Evaluation Scores

5.5 KB of mean entropy-based scores for clustering evaluation, including Normalized Mutual Information (NMI), effectiveness, and consistency. The dataset was authored by Kristina Kobrock and last updated on May 26, 2026. It is available under a CC-BY-4.0 license.

Use Cases

• Benchmark clustering algorithm performance based on the provided NMI, effectiveness, and consistency scores.
• Compare the stability of different clustering methods based on the consistency metric.
• Validate the quality of clustering results using the reported effectiveness scores.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Provides three specific, well-defined clustering evaluation metrics (NMI, effectiveness, consistency).
• Released under a permissive CC-BY-4.0 license for broad reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kristina Kobrock via figshare

Freshness

Last updated 2026-05-26 17:46:43; freshness should be verified.