A Self-Supervised Approach for Cluster Assessment of High-Dimensional Data.
Alokendu MazumderPagadala Krishna MurthyPunit RathorePublished in: CoRR (2023)
Keyphrases
- high dimensional data
- subspace clustering
- data points
- dimensionality reduction
- low dimensional
- nearest neighbor
- variable weighting
- high dimensions
- cluster structure
- data analysis
- high dimensional
- high dimensionality
- dimension reduction
- subspace clusters
- input space
- data sets
- clustering high dimensional data
- original data
- similarity search
- linear discriminant analysis
- lower dimensional
- high dimensional spaces
- data distribution
- sparse representation
- clustering algorithm
- cluster analysis
- nonlinear dimensionality reduction
- input data
- cluster centers
- data clustering
- manifold learning
- high dimensional datasets
- machine learning
- subspace learning
- dimensional data
- text data
- variable selection
- gene expression data
- k means
- data structure
- computer vision