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» On Metric Clustering to Minimize the Sum of Radii
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ALGORITHMICA
2010
112views more  ALGORITHMICA 2010»
13 years 5 months ago
On Metric Clustering to Minimize the Sum of Radii
Abstract Given an n-point metric (P,d) and an integer k > 0, we consider the problem of covering P by k balls so as to minimize the sum of the radii of the balls. We present a r...
Matt Gibson, Gaurav Kanade, Erik Krohn, Imran A. P...
SODA
2008
ACM
95views Algorithms» more  SODA 2008»
13 years 6 months ago
On clustering to minimize the sum of radii
Matt Gibson, Gaurav Kanade, Erik Krohn, Imran A. P...
STACS
2007
Springer
13 years 11 months ago
Small Space Representations for Metric Min-Sum k -Clustering and Their Applications
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
Artur Czumaj, Christian Sohler
EOR
2010
99views more  EOR 2010»
13 years 5 months ago
Min sum clustering with penalties
Traditionally, clustering problems are investigated under the assumption that all objects must be clustered. A shortcoming of this formulation is that a few distant objects, calle...
Refael Hassin, Einat Or
SODA
2008
ACM
200views Algorithms» more  SODA 2008»
13 years 6 months ago
Clustering for metric and non-metric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P, our goal is to find a set C of size k such that the s...
Marcel R. Ackermann, Johannes Blömer, Christi...