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» Approximation Algorithms for Clustering Problems
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ICALP
2005
Springer
16 years 10 days ago
How Well Can Primal-Dual and Local-Ratio Algorithms Perform?
We define an algorithmic paradigm, the stack model, that captures many primal-dual and local-ratio algorithms for approximating covering and packing problems. The stack model is ...
Allan Borodin, David Cashman, Avner Magen
WAOA
2005
Springer
112views Algorithms» more  WAOA 2005»
16 years 8 days ago
Partial Multicuts in Trees
Let T = (V, E) be an undirected tree, in which each edge is associated with a non-negative cost, and let {s1, t1}, . . . , {sk, tk} be a collection of k distinct pairs of vertices...
Asaf Levin, Danny Segev
PPSN
2004
Springer
16 years 4 days ago
LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...
Anne Auger, Marc Schoenauer, Nicolas Vanhaecke
ECCV
2006
Springer
16 years 8 months ago
Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization
Abstract. We consider the problem of clustering data into k 2 clusters given complex relations -- going beyond pairwise -- between the data points. The complex n-wise relations ar...
Amnon Shashua, Ron Zass, Tamir Hazan
KDD
1999
ACM
166views Data Mining» more  KDD 1999»
15 years 11 months ago
CACTUS - Clustering Categorical Data Using Summaries
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...