Dimensionality reduction with adaptive graph.
Lishan QiaoLimei ZhangSongcan ChenPublished in: Frontiers Comput. Sci. (2013)
Keyphrases
- dimensionality reduction
- graph embedding
- graph construction
- graph representation
- feature extraction
- spanning tree
- data representation
- pattern recognition
- high dimensional
- random walk
- high dimensional data
- connected components
- graph clustering
- bipartite graph
- weighted graph
- principal component analysis
- graph structure
- graph model
- manifold learning
- high dimensionality
- graph theory
- data points
- directed acyclic graph
- graph mining
- feature space
- graph theoretic
- directed graph
- kernel pca
- structured data
- feature selection