Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections.
Shusen LiuBei WangJayaraman J. ThiagarajanPeer-Timo BremerValerio PascucciPublished in: Comput. Graph. Forum (2015)
Keyphrases
- high dimensional data
- visual exploration
- subspace analysis
- low dimensional
- dimensionality reduction
- subspace learning
- high dimensional
- linear discriminant analysis
- nearest neighbor
- data points
- high dimensionality
- subspace clustering
- similarity search
- data sets
- original data
- manifold learning
- sparse representation
- exploratory analysis
- data analysis
- input space
- subspace methods
- dimension reduction
- input data
- decision trees
- lower dimensional
- visualization tool
- face recognition
- training set
- open source
- linear subspace
- visualization tools
- euclidean distance
- image processing
- machine learning
- real world