We present the first constant-factor approximation algorithm for the metric k-median problem. The k-median problem is one of the most wellstudied clustering problems, i.e., those problems in which the aim is to partition a given set of points into clusters so that the points within a cluster are rel
β¦ LIBER β¦
Approximation algorithms for geometric median problems
β Scribed by Jyh-Han Lin; Jeffrey Scott Vitter
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 359 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0020-0190
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