LE & LLE Regularized Nonnegative Tucker Decomposition for clustering of high dimensional datasets.
Wanguang YinZhengming MaPublished in: Neurocomputing (2019)
Keyphrases
- high dimensional datasets
- high dimensional data
- high dimensional
- outlier detection
- clustering framework
- high dimensionality
- low dimensional
- dimensionality reduction
- tensor factorization
- high dimensional spaces
- data points
- tensor decomposition
- manifold learning
- clustering algorithm
- nonnegative matrix factorization
- clustering quality
- data sets
- nearest neighbor
- similarity search
- sparse representation
- detection algorithm
- k means
- information retrieval
- matrix factorization
- unsupervised learning
- knowledge discovery
- data analysis
- image sequences
- decision trees