Adaptive multi-view subspace clustering for high-dimensional data.
Fei YanXiao-Dong WangZhi-qiang ZengChao-qun HongPublished in: Pattern Recognit. Lett. (2020)
Keyphrases
- similarity measure
- multi view
- subspace clustering
- high dimensional data
- clustering method
- multiple views
- high dimensional
- dimensionality reduction
- subspace clusters
- high dimensionality
- clustering high dimensional data
- nearest neighbor
- similarity search
- low dimensional
- three dimensional
- d objects
- data analysis
- range images
- dimension reduction
- data points
- semi supervised
- linear discriminant analysis
- data distribution
- subspace clustering algorithms
- sparse representation
- clustering algorithm
- surface reconstruction
- manifold learning
- high dimensional spaces
- data sets
- complex data
- high dimensional feature spaces
- feature space
- text data