Local Linear Embedding in Dimensionality Reduction Based on Small World Principle.
Yulin ZhangJian ZhuangSunan WangXiaohu LiPublished in: CSSE (4) (2008)
Keyphrases
- small world
- dimensionality reduction
- kernel pca
- small world networks
- scale free
- social networks
- power law
- complex networks
- path length
- principal component analysis
- low dimensional
- high dimensional
- high dimensional data
- data points
- network structure
- clustering coefficient
- feature extraction
- social relationships
- feature selection
- high dimensionality
- feature space
- pattern recognition
- manifold learning
- power law degree distribution
- small world properties
- random graphs
- data analysis