Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data.
Yu LiangArin ChaudhuriHaoyu WangPublished in: KSEM (2021)
Keyphrases
- high dimensional data
- cluster structure
- dimensionality reduction
- nearest neighbor
- high dimensional
- low dimensional
- data sets
- data points
- high dimensionality
- data analysis
- original data
- subspace clustering
- manifold learning
- low rank
- sparse representation
- data distribution
- dimension reduction
- similarity search
- linear discriminant analysis
- lower dimensional
- high dimensional spaces
- real world
- knn
- similarity measure
- computer vision