Cross-Validation Approach to Evaluate Clustering Algorithms: An Experimental Study Using Multi-Label Datasets.
Adane Nega TarekegnKrzysztof MichalakMario GiacobiniPublished in: SN Comput. Sci. (2020)
Keyphrases
- cross validation
- multi label
- model selection
- multi label classification
- text categorization
- clustering algorithm
- image classification
- hyperparameters
- multi label learning
- image annotation
- variable selection
- graph cuts
- text classification
- training set
- support vector
- binary classification
- regression problems
- random forest
- class labels
- learning tasks
- k means
- data sets
- base learners
- neural network
- cost sensitive
- benchmark datasets
- training data
- learning algorithm