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KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 7 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
196
Voted
SISAP
2009
IEEE
155views Data Mining» more  SISAP 2009»
16 years 1 months ago
Analyzing Metric Space Indexes: What For?
—It has been a long way since the beginnings of metric space searching, where people coming from algorithmics tried to apply their background to this new paradigm, obtaining vari...
Gonzalo Navarro
ICML
2007
IEEE
16 years 7 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
183
Voted
AMAI
2005
Springer
15 years 6 months ago
A SAT approach to query optimization in mediator systems
Mediator systems integrate distributed, heterogeneous and autonomous data sources, but their e ective use requires the solution of hard query optimization problems. This is usuall...
Steven David Prestwich, Stéphane Bressan
IAT
2003
IEEE
16 years 8 days ago
Classification Rule Discovery with Ant Colony Optimization
—Ant-based algorithms or ant colony optimization (ACO) algorithms have been applied successfully to combinatorial optimization problems. More recently, Parpinelli and colleagues ...
Bo Liu, Hussein A. Abbass, Bob McKay