Dynamic Feature Selection for Clustering High Dimensional Data Streams.
Conor FahyShengxiang YangPublished in: IEEE Access (2019)
Keyphrases
- feature selection
- unsupervised learning
- high dimensional data streams
- high dimensionality
- data clustering
- clustering method
- unsupervised feature selection
- k means
- data mining and pattern recognition
- pattern recognition
- clustering algorithm
- dynamic environments
- fuzzy clustering
- data streams
- machine learning
- multi class
- anomaly detection
- image processing
- feature space
- categorical data
- microarray data
- information theoretic
- data sets
- class separability
- feature weighting
- decision trees
- self organizing maps
- high quality
- text classification
- support vector machine
- image analysis