Principal Curve Algorithms for Partitioning High-Dimensional Data Spaces.
Junping ZhangXiaodan WangUwe KrügerFei-Yue WangPublished in: IEEE Trans. Neural Networks (2011)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- data points
- high dimensional spaces
- high dimensional data sets
- manifold learning
- low dimensional
- high dimensional datasets
- similarity search
- dimension reduction
- dimensional data
- input space
- nearest neighbor
- data sets
- subspace clustering
- high dimensionality
- clustering high dimensional data
- pattern recognition
- face recognition
- decision trees
- learning algorithm