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Multi-cause Binary Clustering

Published
Jan 1, 1995

Multi-cause Binary Clustering is an AI model developed by Xerox (United States), first published in January 1995. It works in the other domain, on tasks such as miscellaneous image analysis.

Epoch AI has no training-compute estimate for this model.

The reference paper has 176 citations.

Full record
Organization
Xerox
Country of organization
United States
Domain
Other
Task
Miscellaneous image analysis
Citations
176
More from Xerox
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