G-CEALS: Gaussian Cluster Embedding in Autoencoder Latent Space for Tabular Data Representation.
Manar D. SamadSakib AbrarMohammad BatainehPublished in: CoRR (2023)
Keyphrases
- data representation
- latent space
- dimensionality reduction
- gaussian mixture
- low dimensional
- data points
- latent variables
- lower dimensional
- gaussian process
- parameter space
- feature space
- high dimensional
- generative model
- matrix factorization
- gaussian process latent variable models
- high dimensional data
- manifold learning
- principal component analysis
- gaussian processes
- high dimensional spaces
- clustering algorithm
- linear discriminant analysis
- feature extraction
- pattern recognition
- feature selection
- dimension reduction
- distance metric
- singular value decomposition
- gaussian mixture model
- euclidean distance
- probability density function
- semi supervised
- probabilistic latent semantic analysis