Clustering Uncertain Data Objects Using Jeffreys-Divergence and Maximum Bipartite Matching Based Similarity Measure.
Krishna Kumar SharmaAyan SealAnis YazidiAli SelamatOndrej KrejcarPublished in: IEEE Access (2021)
Keyphrases
- uncertain data
- uncertain objects
- bipartite matching
- similarity measure
- clustering method
- classical clustering algorithms
- uncertain databases
- outlier detection
- probability density function
- data objects
- mining frequent itemsets
- probabilistic xml
- data streams
- distance function
- uncertain data streams
- clustering algorithm
- frequent patterns
- similar objects
- k means
- range searching
- range queries
- data mining
- distance computation
- distance measure
- knowledge discovery