Clustering to forecast sparse time-series data.
Abhay JhaShubhankar RayBrian SeamanInderjit S. DhillonPublished in: ICDE (2015)
Keyphrases
- clustering algorithm
- high dimensional
- clustering method
- anomaly detection
- k means
- data points
- streaming time series
- hierarchical clustering
- incremental clustering
- unsupervised learning
- graph theoretic
- cluster analysis
- spectral clustering
- document clustering
- compressive sensing
- data clustering
- data analysis
- high dimensional data
- neural network
- sparse data
- image segmentation
- low dimensional
- face recognition