Latent Space Cartography: Visual Analysis of Vector Space Embeddings.
Yang LiuEunice JunQisheng LiJeffrey HeerPublished in: Comput. Graph. Forum (2019)
Keyphrases
- vector space
- visual analysis
- latent space
- low dimensional
- high dimensional
- dimensionality reduction
- latent variables
- manifold learning
- euclidean space
- high dimensional data
- lower dimensional
- principal component analysis
- feature space
- computer graphics
- information visualization
- data points
- latent semantic indexing
- gaussian process
- gaussian process latent variable models
- vector space model
- parameter space
- dimension reduction
- retrieval model
- generative model
- similarity search
- metric space
- higher dimensional
- high dimensional spaces
- matrix factorization
- gaussian processes
- distance measure
- feature vectors
- data analysis
- distance metric
- input data
- neural network
- riemannian manifolds
- probabilistic latent semantic analysis
- feature extraction
- data mining