Fast Adaptive K-Means Subspace Clustering for High-Dimensional Data.
Xiao-Dong WangRung-Ching ChenFei YanZhi-qiang ZengChaoqun HongPublished in: IEEE Access (2019)
Keyphrases
- subspace clustering
- high dimensional data
- k means
- clustering method
- clustering algorithm
- clustering approaches
- variable weighting
- high dimensional
- dimensionality reduction
- nearest neighbor
- subspace clusters
- clustering high dimensional data
- low dimensional
- high dimensionality
- data analysis
- data sets
- data points
- original data
- dimension reduction
- complex data
- similarity search
- linear discriminant analysis
- high dimensional datasets
- text data
- input space
- high dimensional feature spaces
- pattern recognition
- lower dimensional
- subspace learning
- database
- spectral clustering
- data clustering
- cluster structure
- subspace projections
- data mining
- subspace clustering algorithms