A Decoder-Free Approach for Unsupervised Clustering and Manifold Learning with Random Triplet Mining.
Oliver NinaJamison MoodyClarissa MilliganPublished in: ICCV Workshops (2019)
Keyphrases
- manifold learning
- unsupervised clustering
- low dimensional
- dimensionality reduction
- supervised classification
- semi supervised
- dimension reduction
- high dimensional
- k means
- high dimensional data
- clustering method
- clustering algorithm
- image segmentation
- pairwise constraints
- fuzzy c means
- data mining
- text mining
- feature extraction
- training set
- support vector
- data mining techniques
- pattern recognition
- supervised learning
- principal component analysis
- neural network
- information extraction
- support vector machine
- knowledge discovery
- feature space