S+t-SNE - Bringing dimensionality reduction to data streams.
Pedro C. VieiraJoão P. MontrezolJoão T. VieiraJoão GamaPublished in: CoRR (2024)
Keyphrases
- dimensionality reduction
- data streams
- sliding window
- high dimensional
- low dimensional
- principal component analysis
- high dimensional data
- high dimensionality
- data representation
- data points
- structure preserving
- streaming data
- feature extraction
- change detection
- stream data
- sensor data
- feature selection
- mining data streams
- principal components
- pattern recognition and machine learning
- sensor networks
- data distribution
- nonlinear dimensionality reduction
- random projections
- dimensionality reduction methods
- linear discriminant analysis
- concept drift
- continuous data streams
- outlier detection
- data stream mining
- euclidean distance
- stream processing
- linear dimensionality reduction
- continuous queries
- itemsets
- feature space
- pattern recognition
- data sets
- data streaming
- anytime classification
- graph embedding
- limited memory
- historical data
- discriminant analysis
- data mining