Comparison of incremental linear dimension reduction methods for streaming data.
Cheong Hee ParkGyeong-Hoon LeePublished in: Pattern Recognit. Lett. (2020)
Keyphrases
- streaming data
- data streams
- dimension reduction methods
- concept drift
- sliding window
- data stream mining
- incremental clustering
- evolving data streams
- concept drifting data streams
- data distribution
- dimension reduction
- anomaly detection
- similarity measure
- principal component analysis
- data sets
- non stationary
- massive data streams
- unsupervised learning
- support vector machine
- feature space
- feature extraction
- feature selection
- data mining
- neural network