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» Approximation Algorithms for Hamming Clustering Problems
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TALG
2010
158views more  TALG 2010»
14 years 4 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...
DATAMINE
2006
89views more  DATAMINE 2006»
14 years 9 months ago
Scalable Clustering Algorithms with Balancing Constraints
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
Arindam Banerjee, Joydeep Ghosh
SODA
2003
ACM
126views Algorithms» more  SODA 2003»
14 years 11 months ago
Smaller core-sets for balls
We prove the existence of small core-sets for solving approximate k-center clustering and related problems. The size of these core-sets is considerably smaller than the previously...
Mihai Badoiu, Kenneth L. Clarkson
ICALP
2011
Springer
14 years 1 months ago
Clique Clustering Yields a PTAS for max-Coloring Interval Graphs
We are given an interval graph G = (V, E) where each interval I ∈ V has a weight wI ∈ R+. The goal is to color the intervals V with an arbitrary number of color classes C1, C2...
Tim Nonner
SODA
1998
ACM
106views Algorithms» more  SODA 1998»
14 years 11 months ago
Greedy Strikes Back: Improved Facility Location Algorithms
A fundamental facility location problem is to choose the location of facilities, such as industrial plants and warehouses, to minimize the cost of satisfying the demand for some c...
Sudipto Guha, Samir Khuller