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» Approximation Algorithms for Clustering Problems
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DAWAK
2007
Springer
15 years 11 months ago
MOSAIC: A Proximity Graph Approach for Agglomerative Clustering
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
Jiyeon Choo, Rachsuda Jiamthapthaksin, Chun-Sheng ...
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
15 years 6 months ago
A Robust Seedless Algorithm for Correlation Clustering
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Mohammad S. Aziz, Chandan K. Reddy
COCOON
2007
Springer
15 years 11 months ago
Priority Algorithms for the Subset-Sum Problem
Greedy algorithms are simple, but their relative power is not well understood. The priority framework [5] captures a key notion of “greediness” in the sense that it processes (...
Yuli Ye, Allan Borodin
APPROX
2004
Springer
117views Algorithms» more  APPROX 2004»
15 years 10 months ago
The Greedy Algorithm for the Minimum Common String Partition Problem
In the Minimum Common String Partition problem (MCSP) we are given two strings on input, and we wish to partition them into the same collection of substrings, minimizing the numbe...
Marek Chrobak, Petr Kolman, Jiri Sgall
SODA
2008
ACM
131views Algorithms» more  SODA 2008»
15 years 6 months ago
Approximating connected facility location problems via random facility sampling and core detouring
We present a simple randomized algorithmic framework for connected facility location problems. The basic idea is as follows: We run a black-box approximation algorithm for the unc...
Friedrich Eisenbrand, Fabrizio Grandoni, Thomas Ro...