Soft Subspace Topological Clustering over Evolving Data Stream.
Mohammed Oualid AttaouiMustapha LebbahNabil KeskesHanene AzzagMohammed GhesmounePublished in: WSOM+ (2019)
Keyphrases
- data streams
- subspace clustering
- clustering method
- high dimensional data
- clustering algorithm
- clustering high dimensional data
- outlier detection
- k means
- multiple data streams
- principal component analysis
- principal components analysis
- sliding window
- self organizing maps
- change detection
- high dimensional
- low dimensional
- concept drift
- hierarchical clustering
- data clustering
- cluster analysis
- topological properties
- multi dimensional data
- principal components
- data points
- space efficient
- multi dimensional
- feature extraction