Estimation of Locally Relevant Subspace in High-dimensional Data.
Srikanth ThudumuPhilip BranchJiong JinJugdutt SinghPublished in: ACSW (2020)
Keyphrases
- high dimensional data
- low dimensional
- subspace clustering
- dimensionality reduction
- high dimensionality
- high dimensional
- nearest neighbor
- clustering high dimensional data
- high dimensions
- data sets
- data analysis
- data points
- similarity search
- dimension reduction
- input space
- lower dimensional
- original data
- data distribution
- manifold learning
- intrinsic dimensionality
- dimensional data
- high dimensional datasets
- linear discriminant analysis
- sparse representation
- feature space
- nonlinear dimensionality reduction
- low rank
- subspace learning
- real world
- particle swarm optimization
- text data
- small sample size
- input data