Ensemble-based clustering of large probabilistic graphs using neighborhood and distance metric learning.
Malihe DaneshMorteza DorrigivFarzin YaghmaeePublished in: J. Supercomput. (2021)
Keyphrases
- distance metric learning
- distance metric
- metric learning
- clustering algorithm
- nearest neighbor classification
- image classification
- k means
- semi supervised
- clustering method
- euclidean distance
- neural network
- ensemble methods
- training data
- data points
- document clustering
- data clustering
- nonlinear dimensionality reduction
- learning algorithm
- gender classification
- spectral clustering
- cluster analysis
- visual features