Dimension reconstruction for visual exploration of subspace clusters in high-dimensional data.
Fangfang ZhouJuncai LiWei HuangYing ZhaoXiaoru YuanXing LiangYang ShiPublished in: PacificVis (2016)
Keyphrases
- subspace clustering
- high dimensional data
- visual exploration
- subspace clusters
- dimensional data
- dimensionality reduction
- exploratory analysis
- high dimensionality
- data analysis
- nearest neighbor
- visualization tool
- low dimensional
- high dimensional
- dimension reduction
- data sets
- high dimensional feature spaces
- original data
- data points
- sparse representation
- similarity search
- data distribution
- visualization tools
- subspace clustering algorithms
- text data
- lower dimensional
- clustering method
- feature selection
- linear discriminant analysis
- input data
- clustering algorithm
- machine learning
- information visualization
- input image
- feature extraction
- decision trees