The Flatland Fallacy: Moving Beyond Low-Dimensional Thinking.
Eshin JollyLuke J. ChangPublished in: Top. Cogn. Sci. (2019)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- manifold learning
- high dimensional data
- input space
- principal component analysis
- data points
- euclidean space
- dimension reduction
- feature space
- artificial intelligence
- vector space
- image sequences
- search engine
- data sets
- subspace learning
- multidimensional scaling
- nonlinear dimensionality reduction
- graph embedding
- moving objects
- data analysis
- feature extraction
- image processing
- single point
- linear dimensionality reduction