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EUROPAR
2003
Springer
15 years 12 months ago
Distributed Application Monitoring for Clustered SMP Architectures
Abstract. Performance analysis for terascale computing requires a combination of new concepts including distribution, on-line processing and automation. As a foundation for tools r...
Karl Fürlinger, Michael Gerndt
ISAAC
2004
Springer
121views Algorithms» more  ISAAC 2004»
16 years 3 days ago
Approximate Distance Oracles for Graphs with Dense Clusters
Let G be a graph containing N disjoint t-spanners that are inter-connected with M edges. We present an algorithm that constructs a data structure of size O(M2 + n log n) that answ...
Mattias Andersson, Joachim Gudmundsson, Christos L...
197
Voted
ICML
2005
IEEE
16 years 7 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani
KDD
2009
ACM
182views Data Mining» more  KDD 2009»
16 years 7 months ago
Scalable graph clustering using stochastic flows: applications to community discovery
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
Venu Satuluri, Srinivasan Parthasarathy
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
16 years 3 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He