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» Clustering from Constraint Graphs
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ICPR
2002
IEEE
14 years 11 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
13 years 11 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
CP
2005
Springer
14 years 3 months ago
Bounds of Graph Characteristics
Abstract. This report presents a basic scheme for deriving systematically a filtering algorithm from the graph properties based representation of global constraints. This scheme i...
Nicolas Beldiceanu, Thierry Petit, Guillaume Rocha...
DATAMINE
2007
110views more  DATAMINE 2007»
13 years 9 months ago
The complexity of non-hierarchical clustering with instance and cluster level constraints
Recent work has looked at extending clustering algorithms with instance level must-link (ML) and cannot-link (CL) background information. Our work introduces δ and ǫ cluster lev...
Ian Davidson, S. S. Ravi
FASE
2005
Springer
14 years 3 months ago
Ensuring Structural Constraints in Graph-Based Models with Type Inheritance
Graphs are a common means to represent structures in models and meta-models of software systems. In this context, the description of model domains by classifying the domain entitie...
Gabriele Taentzer, Arend Rensink