Clustering for metric and nonmetric distance measures
Year: 2010
Type: article
Source: ACM Transactions on Algorithms
Institutions: Paderborn University, TU Dortmund University
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funder: Deutsche Forschungsgemeinschaft
Award: G4116485824
OpenAlex ID: W2108762162