Online Graph-Based Change-Point Detection for High Dimensional Data.
Yang-Wen SunKaterina PapagiannouliVladimir G. SpokoinyPublished in: CoRR (2019)
Keyphrases
- high dimensional data
- change point detection
- low dimensional
- dimensionality reduction
- nearest neighbor
- high dimensional
- subspace clustering
- change point
- high dimensionality
- clustering high dimensional data
- outlier detection
- data analysis
- similarity search
- high dimensional datasets
- data sets
- manifold learning
- dimensional data
- normalized maximum likelihood
- data points
- non stationary
- variable selection
- sequential data
- high dimensional spaces
- pattern recognition
- variable length
- input space
- high dimensional data sets
- input data
- feature vectors