Deterministic Coherence-Based Performance Guarantee for Noisy Sparse Subspace Clustering using Greedy Neighbor Selection.
Jwo-Yuh WuWen-Hsuan LiLiang-Chi HuangYen-Ping LinChun-Hung LiuRung-Hung GauPublished in: SAM (2020)
Keyphrases
- subspace clustering
- neighbor selection
- high dimensional
- high dimensional data
- clustering method
- subspace clusters
- collaborative filtering
- greedy algorithm
- clustering high dimensional data
- high dimensional feature spaces
- sparse representation
- clustering algorithm
- subgraph mining
- high dimensionality
- low dimensional
- dimensionality reduction
- clustering approaches
- random projections
- recommender systems
- data structure
- low dimensional spaces
- subspace projections
- feature selection