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» Approximation Algorithms for Clustering Problems
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ASPDAC
1999
ACM
122views Hardware» more  ASPDAC 1999»
15 years 10 months ago
A Clustering Based Linear Ordering Algorithm for K-Way Spectral Partitioning
The spectral method can lead to a high quality of multi-way partition due to its ability to capture global netlist information. For spectral partition, n netlist modules are mappe...
Shiuann-Shiuh Lin, Wen-Hsin Chen, Wen-Wei Lin, Tin...
SPAA
2004
ACM
15 years 11 months ago
Balanced graph partitioning
We consider the problem of partitioning a graph into k components of roughly equal size while minimizing the capacity of the edges between different components of the cut. In part...
Konstantin Andreev, Harald Räcke
BMCBI
2006
100views more  BMCBI 2006»
15 years 6 months ago
Towards a better solution to the shortest common supersequence problem: the deposition and reduction algorithm
Background: The problem of finding a Shortest Common Supersequence (SCS) of a set of sequences is an important problem with applications in many areas. It is a key problem in biol...
Kang Ning, Hon Wai Leong
DASFAA
2007
IEEE
199views Database» more  DASFAA 2007»
16 years 15 days ago
Detection and Visualization of Subspace Cluster Hierarchies
Subspace clustering (also called projected clustering) addresses the problem that different sets of attributes may be relevant for different clusters in high dimensional feature sp...
Elke Achtert, Christian Böhm, Hans-Peter Krie...
191
Voted
IPL
2000
146views more  IPL 2000»
15 years 6 months ago
Better approximations for max TSP
We combine two known polynomial time approximation algorithms for the maximum traveling salesman problem to obtain a randomized algorithm which outputs a solution with expected va...
Refael Hassin, Shlomi Rubinstein