Scaling clustering algorithms to large databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable cluste...
Publications
1 shownFrequent Co-Authors
Researcher Info
- h-index
- 1
- Publications
- 1
- Citations
- 707
- Institution
- Microsoft (United States)
External Links
Identifiers
- ORCID
- 0009-0001-2517-9567
Impact Metrics
h-index
1
h-index: Number of publications with at least h citations each.