Comparing two density-based clustering methods for reducing very large spatio-temporal dataset.
Michael WhelanNhien-An Le-KhacM. Tahar KechadiPublished in: ICSDM (2011)
Keyphrases
- spatio temporal
- human actions
- image sequences
- spatial and temporal
- spatio temporal data
- anomaly detection
- database
- spatio temporal patterns
- moving objects
- space time
- outlier detection
- outlier mining
- spatial clustering
- web scale
- training dataset
- subspace clustering
- human body
- clustering algorithm
- information systems
- learning algorithm