The Significance of Kappa and F-score in Clustering Ensemble: A Comprehensive Analysis
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- Type
- preprint
- Published
- 2023-06-02
- Cited by
- 1
- References
- 57
- Access
- Open access
- OpenAlex
- https://openalex.org/W4379144395
Keywords
Kappa, Cluster analysis, Computer science, Statistics, Artificial intelligence
References
- Diversity-Based Weighting Schemes for Clustering Ensembles
- Backdoors To Typical Case Complexity
- Weighted Consensus Clustering
- A Comparison of Document Clustering Techniques
- IEEE transactions on pattern analysis and machine intelligence
- Basic principles of ROC analysis.
- PENETRATE: Personalized news recommendation using ensemble hierarchical clustering
- Hierarchical clustering schemes
- A Survey of Clustering Ensemble Algorithms
- Cluster ensembles in collaborative filtering recommendation
- On voting-based consensus of cluster ensembles
- Bagging-based spectral clustering ensemble selection
- Cluster ensemble selection based on relative validity indexes
- Clustering of Hyperspectral Images with an Ensemble Method Based on Fuzzy C-Means and Markov Random Fields
- Spectral Clustering Ensemble Applied to SAR Image Segmentation
- Moderate diversity for better cluster ensembles
- A Link-Based Approach to the Cluster Ensemble Problem
- Using diversity in cluster ensembles
- Some methods for classification and analysis of multivariate observations
- Resampling-based selective clustering ensembles
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