A clustering algorithm for stream data with LDA-based unsupervised localized dimension reduction.
Sirisup LaohakiatSuphakant PhimoltaresChidchanok LursinsapPublished in: Inf. Sci. (2017)
Keyphrases
- dimension reduction
- stream data
- clustering algorithm
- unsupervised learning
- data streams
- cluster analysis
- sliding window
- historical data
- feature extraction
- principal component analysis
- high dimensional
- concept drift
- linear discriminant analysis
- sequential patterns
- high dimensional data
- feature selection
- network traffic
- sensor data
- low dimensional
- streaming data
- random projections
- continuous queries
- feature space
- supervised learning
- k means
- dimensionality reduction
- singular value decomposition
- semi supervised
- anomaly detection
- database
- preprocessing
- face recognition
- neural network
- intrusion detection
- probabilistic model
- feature vectors