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» Significance-Driven Graph Clustering
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82
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LAWEB
2003
IEEE
15 years 5 months ago
Clustering the Chilean Web
We perform a clustering of the Chilean Web Graph using a local fitness measure, optimized by simulated annealing, and compare the obtained cluster distribution to that of two mod...
Satu Virtanen
PAMI
2007
196views more  PAMI 2007»
15 years 2 days ago
Clustering and Embedding Using Commute Times
This paper exploits the properties of the commute time between nodes of a graph for the purposes of clustering and embedding, and explores its applications to image segmentation a...
Huaijun Qiu, Edwin R. Hancock
121
Voted
ICML
2009
IEEE
16 years 1 months ago
Spectral clustering based on the graph p-Laplacian
We present a generalized version of spectral clustering using the graph p-Laplacian, a nonlinear generalization of the standard graph Laplacian. We show that the second eigenvecto...
Matthias Hein, Thomas Bühler
106
Voted
NIPS
2004
15 years 2 months ago
Proximity Graphs for Clustering and Manifold Learning
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
Miguel Á. Carreira-Perpiñán, ...
82
Voted
GD
1999
Springer
15 years 4 months ago
Planarity-Preserving Clustering and Embedding for Large Planar Graphs
In this paper we present a novel approach for cluster-based drawing of large planar graphs that maintains planarity. Our technique works for arbitrary planar graphs and produces a ...
Christian A. Duncan, Michael T. Goodrich, Stephen ...