An adaptive version of k-medoids to deal with the uncertainty in clustering heterogeneous data using an intermediary fusion approach.
Aalaa MojahedBeatriz de la IglesiaPublished in: Knowl. Inf. Syst. (2017)
Keyphrases
- heterogeneous data
- data integration
- databases
- numerical and categorical attributes
- heterogeneous databases
- clustering method
- data sources
- data management
- high dimensional data
- clustering algorithm
- semantic heterogeneity
- metadata
- k means
- complex data
- data clustering
- database
- high order co clustering
- data points
- cluster analysis
- data sets
- decision making
- categorical data
- database systems
- feature space
- high dimensional
- social media