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PAKDD
2010
ACM
193views Data Mining» more  PAKDD 2010»
13 years 9 months ago
As Time Goes by: Discovering Eras in Evolving Social Networks
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
ICML
2009
IEEE
14 years 11 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
NIPS
2004
14 years 6 days 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, ...
GD
1999
Springer
14 years 3 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 ...
IV
2010
IEEE
193views Visualization» more  IV 2010»
13 years 9 months ago
Drawing Clustered Bipartite Graphs in Multi-circular Style
Abstract—Bipartite graphs are often used to illustrate relationships between two sets of data, such as web pages and visitors. At the same time, information is often organized hi...
Takao Ito, Kazuo Misue, Jiro Tanaka