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PAMI
2007
202views more  PAMI 2007»
13 years 6 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
RECOMB
2007
Springer
14 years 7 months ago
Network Motif Discovery Using Subgraph Enumeration and Symmetry-Breaking
The study of biological networks and network motifs can yield significant new insights into systems biology. Previous methods of discovering network motifs ? network-centric subgra...
Joshua A. Grochow, Manolis Kellis
SDM
2009
SIAM
138views Data Mining» more  SDM 2009»
14 years 3 months ago
ShatterPlots: Fast Tools for Mining Large Graphs.
Graphs appear in several settings, like social networks, recommendation systems, computer communication networks, gene/protein biological networks, among others. A deep, recurring...
Ana Paula Appel, Andrew Tomkins, Christos Faloutso...
ISMB
1993
13 years 8 months ago
Protein Classification Using Neural Networks
Wehave recently described a method based on Artificial Neural Networksto cluster protein sequences into families. The network was trained with Kohonen’s unsupervised-learning al...
Edgardo A. Ferrán, Pascual Ferrara, Bernard...
CSC
2009
13 years 7 months ago
Fast Monte Carlo Algorithms on Re-Wired Small-World Spin Models
Small-world networks have become an important model for understanding many complex phenomena in science and in sociological contexts. One tool for exploring the critical and phase...
Kenneth A. Hawick