Deep Generative Neural Embeddings for High Dimensional Data Visualization.
Halid Ziya YerebakanGerardo Hermosillo ValadezPublished in: CoRR (2023)
Keyphrases
- data visualization
- high dimensional
- low dimensional
- dimensionality reduction
- high dimensional data
- manifold learning
- gaussian process latent variable models
- data analysis
- low dimensional spaces
- visual data mining
- information visualization
- generative model
- knowledge discovery
- data mining
- data exploration
- interactive visualization
- data mining and visualization
- neural network
- feature space
- big data
- nearest neighbor
- exploratory data analysis
- parallel coordinates
- data sets
- parameter space
- nearest neighbor search
- nonlinear dimensionality reduction
- multi dimensional
- exploratory analysis
- unsupervised learning
- data management
- knowledge discovery process
- data points
- multidimensional data sets
- machine learning
- interactive visual
- principal component analysis
- visualization methods
- euclidean space