The Area under the ROC Curve as a Criterion for Clustering Evaluation.
Helena AidosRobert P. W. DuinAna L. N. FredPublished in: ICPRAM (2013)
Keyphrases
- clustering algorithm
- clustering method
- minimum message length
- evaluation method
- hierarchical clustering
- information theoretic
- unsupervised learning
- k means
- high dimensional data
- data clustering
- spectral clustering
- fuzzy clustering
- evaluation criteria
- categorical data
- data mining tasks
- graph partitioning
- bayesian information criterion
- feature selection