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» Approximation Algorithms for Clustering Problems
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SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
15 years 10 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
ALGOSENSORS
2006
Springer
15 years 8 months ago
Self-stabilizing Weight-Based Clustering Algorithm for Ad Hoc Sensor Networks
Ad hoc sensor networks consist of large number of wireless sensors that communicate with each other in the absence of a xed infrastructure. Fast self-recon guration and power eci...
Colette Johnen, Le Huy Nguyen
FOCS
2005
IEEE
15 years 10 months ago
Algorithmic Graph Minor Theory: Decomposition, Approximation, and Coloring
At the core of the seminal Graph Minor Theory of Robertson and Seymour is a powerful structural theorem capturing the structure of graphs excluding a fixed minor. This result is ...
Erik D. Demaine, Mohammad Taghi Hajiaghayi, Ken-ic...
FOCS
2008
IEEE
15 years 11 months ago
Constant-Time Approximation Algorithms via Local Improvements
We present a technique for transforming classical approximation algorithms into constant-time algorithms that approximate the size of the optimal solution. Our technique is applic...
Huy N. Nguyen, Krzysztof Onak
148
Voted
STOC
1998
ACM
167views Algorithms» more  STOC 1998»
15 years 9 months ago
An Improved Approximation Algorithm for Multiway Cut
Given an undirected graph with edge costs and a subset of k nodes called terminals, a multiway cut is a subset of edges whose removal disconnects each terminal from the rest. Mult...
Gruia Calinescu, Howard J. Karloff, Yuval Rabani