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» Approximation Algorithms for Clustering Problems
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154
Voted
SODA
2004
ACM
156views Algorithms» more  SODA 2004»
15 years 7 months ago
Approximating Minimum Max-Stretch spanning Trees on unweighted graphs
Given a graph G and a spanning tree T of G, we say that T is a tree t-spanner of G if the distance between every pair of vertices in T is at most t times their distance in G. The p...
Yuval Emek, David Peleg
ICDT
2005
ACM
149views Database» more  ICDT 2005»
15 years 11 months ago
Approximately Dominating Representatives
We propose and investigate from the algorithmic standpoint a novel form of fuzzy query called approximately dominating representatives or ADRs. The ADRs of a multidimensional point...
Vladlen Koltun, Christos H. Papadimitriou
180
Voted
SODA
2008
ACM
111views Algorithms» more  SODA 2008»
15 years 7 months ago
On distance to monotonicity and longest increasing subsequence of a data stream
In this paper we consider problems related to the sortedness of a data stream. First we investigate the problem of estimating the distance to monotonicity; given a sequence of len...
Funda Ergün, Hossein Jowhari
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 6 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
GECCO
2011
Springer
374views Optimization» more  GECCO 2011»
14 years 9 months ago
A hybrid heuristic approach for solving the generalized traveling salesman problem
The generalized traveling salesman problem (GTSP) is an NPhard problem that extends the classical traveling salesman problem by partitioning the nodes into clusters and looking fo...
Petrica C. Pop, Serban Iordache