Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding.
Linxiao YangNgai-Man CheungJiaying LiJun FangPublished in: ICCV (2019)
Keyphrases
- gaussian mixture
- graph embedding
- expectation maximization
- clustering algorithm
- density estimation
- em algorithm
- covariance matrix
- discriminant analysis
- probability density function
- k means
- closed form
- denoising
- gaussian mixture model
- image segmentation
- mixture model
- cluster analysis
- data representation
- low dimensional
- data sets
- dimensionality reduction
- semi supervised
- knowledge discovery
- subspace learning
- outlier detection
- principal component analysis
- data points
- data analysis
- object recognition
- pattern recognition
- multiscale
- similarity measure
- dictionary learning
- feature selection