Research map / Learning theory and algorithms / Clustering
Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use different cluster similarity indices to compare candidate clustering algorithms | News aggregator algorithms A1 and A2 · News aggregator reference partition | preferred algorithm: NMI: 0.9479 vs 0.9482; FNMI: 0.9304 vs 0.8722; AMI: 0.7815 vs 0.7533; VI: 0.5662 vs 0.5503; Rand: 0.9915 vs 0.9901; AR: | Mixed |
| Select A2 rather than A1 based on the online user experiment | News aggregator clustering system · Online user experiment | user preference | Helped |
| Compare partitions using different popular indices | Clustering algorithms on UCI datasets · UCI real-world clustering datasets | inconsistency rate: NMI vs VI: 40.3%; VI vs AR: 37.6%; VI vs S&S: 36.0%; S&S vs CC: 3.6% | Mixed |
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