Detecting Data Stream Dependencies on High Dimensional Data.
Jonathan BoidolAndreas HapfelmeierPublished in: IoTBD (2016)
Keyphrases
- high dimensional data
- data streams
- data distribution
- dimensionality reduction
- low dimensional
- data sets
- nearest neighbor
- high dimensional
- high dimensionality
- sliding window
- high dimensions
- subspace clustering
- data points
- similarity search
- original data
- change detection
- data analysis
- missing values
- dimension reduction
- input space
- linear discriminant analysis
- high dimensional spaces
- lower dimensional
- dimensional data
- variable selection
- manifold learning
- concept drift
- high dimensional data sets
- clustering high dimensional data
- nonlinear dimensionality reduction
- neural network
- high dimensional datasets
- training data
- outlier detection
- input data
- locally linear embedding
- principal component analysis
- image processing
- small sample size
- computer vision
- machine learning
- variable weighting