TSF-DBSCAN: A Novel Fuzzy Density-Based Approach for Clustering Unbounded Data Streams.
Alessio BechiniFrancesco MarcelloniAlessandro RendaPublished in: IEEE Trans. Fuzzy Syst. (2022)
Keyphrases
- density based clustering algorithm
- data streams
- clustering algorithm
- k means
- clustering method
- density based clustering
- data clustering
- fuzzy clustering
- dense regions
- sliding window
- instance level constraints
- fuzzy c means clustering
- fuzzy sets
- spatial clustering
- clustering analysis
- clusters of arbitrary shapes
- arbitrary shape
- fuzzy logic
- membership functions
- data sets
- outlier detection
- unsupervised learning
- document clustering
- fuzzy clustering algorithm
- multiple data streams
- fuzzy k means
- fuzzy rules
- spectral clustering
- stream data
- cluster centroids
- data distribution
- sensor networks
- cluster analysis
- self organizing maps
- attribute values
- detecting outliers
- clustering quality
- cluster validity index
- possibilistic c means