A New Supervised Clustering Framework Using Multi Discriminative Parts and Expectation-Maximization Approach for a Fine-Grained Animal Breed Classification (SC-MPEM).
Sundaram Divya MeenaLoganathan AgilandeeswariPublished in: Neural Process. Lett. (2020)
Keyphrases
- fine grained
- coarse grained
- clustering framework
- unsupervised learning
- semi supervised
- expectation maximization
- supervised learning
- feature selection
- em algorithm
- feature extraction
- feature vectors
- image classification
- data lineage
- clustering method
- similarity metric
- text clustering
- machine learning
- access control
- text classification
- feature space
- learning algorithm
- maximum likelihood
- classification algorithm
- k means
- metadata
- databases