Arrangement of Low-Dimensional Parallel Coordinate Plots for High-Dimensional Data Visualization.
Haruka SuematsuYunzhu ZhengTakayuki ItohRyohei FujimakiSatoshi MorinagaYoshinobu KawaharaPublished in: IV (2013)
Keyphrases
- data visualization
- low dimensional
- high dimensional
- dimensionality reduction
- high dimensional data
- data analysis
- interactive visualization
- dimension reduction
- nonlinear dimensionality reduction
- manifold learning
- knowledge discovery
- data exploration
- visual data mining
- input space
- similarity search
- big data
- feature space
- information visualization
- parallel coordinates
- principal component analysis
- data points
- nonlinear manifold learning
- multidimensional data sets
- data mining
- euclidean space
- visualization methods
- exploratory analysis
- embedding space
- data mining and visualization
- multi dimensional
- graphical display
- multivariate data
- exploratory data analysis
- interactive visual
- metric space
- face recognition
- nearest neighbor search
- database management systems
- data processing
- parameter space
- nearest neighbor