GeoVis: a data-driven geographic visualization recommendation system via latent space encoding.
Hanfeng ChenShiqi JiangXuan YuHong YinXiping WangYanpeng HuChangbo WangChenhui LiPublished in: J. Vis. (2024)
Keyphrases
- data driven
- latent space
- latent variables
- low dimensional
- gaussian process
- matrix factorization
- dimensionality reduction
- manifold learning
- collaborative filtering
- lower dimensional
- parameter space
- generative model
- high dimensional
- feature space
- gaussian processes
- gaussian process latent variable models
- distance metric
- probabilistic latent semantic analysis
- data analysis
- transfer learning
- high dimensional spaces
- recommender systems
- euclidean distance