Subspace Approximation and (k, p)-Clustering.
Amit DeshpandeRameshwar PratapPublished in: Algorithmica (2023)
Keyphrases
- subspace clustering
- high dimensional data
- clustering algorithm
- k means
- clustering method
- clustering high dimensional data
- categorical data
- data points
- dimensionality reduction
- approximation error
- spectral clustering
- error bounds
- closed form
- anomaly detection
- unsupervised learning
- feature extraction
- hierarchical clustering
- fuzzy clustering
- approximation algorithms
- distance metric
- nonnegative matrix factorization
- subspace learning
- principal components analysis
- locality preserving