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» Better streaming algorithms for clustering problems
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PPSN
2004
Springer
14 years 1 days ago
Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation
Abstract. This paper introduces a generator that creates problem instances for the Euclidean symmetric travelling salesman problem. To fit real world problems, we look at maps con...
Jano I. van Hemert, Neil Urquhart
IMC
2007
ACM
13 years 8 months ago
A data streaming algorithm for estimating entropies of od flows
Entropy has recently gained considerable significance as an important metric for network measurement. Previous research has shown its utility in clustering traffic and detecting ...
Haiquan (Chuck) Zhao, Ashwin Lall, Mitsunori Ogiha...
CLOUDCOM
2010
Springer
13 years 4 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
14 years 10 days ago
A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
Huimin Geng, Hesham H. Ali
ICML
2010
IEEE
13 years 7 months ago
Budgeted Nonparametric Learning from Data Streams
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
Ryan Gomes, Andreas Krause