A Pairwise Fair and Community-preserving Approach to k-Center Clustering.
Brian BrubachDarshan ChakrabartiJohn P. DickersonSamir KhullerAravind SrinivasanLeonidas TsepenekasPublished in: ICML (2020)
Keyphrases
- pairwise
- spectral clustering
- similarity function
- clustering algorithm
- k means
- clustering method
- data points
- loss function
- data clustering
- self organizing maps
- dissimilarity matrix
- similarity matrix
- categorical data
- multi class
- similarity measure
- markov random field
- semi supervised
- hierarchical clustering
- community discovery
- data mining tasks
- virtual communities
- metric learning
- belief propagation
- learning community
- graph matching
- fuzzy clustering
- data objects
- document clustering
- neural network
- information theoretic
- graphical models
- higher order
- search engine