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KDD
2001
ACM
181views Data Mining» more  KDD 2001»
16 years 7 months ago
Co-clustering documents and words using bipartite spectral graph partitioning
Both document clustering and word clustering are well studied problems. Most existing algorithms cluster documents and words separately but not simultaneously. In this paper we pr...
Inderjit S. Dhillon
ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
16 years 1 months ago
Community Learning by Graph Approximation
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip...
DAGSTUHL
2001
15 years 8 months ago
Visualizing Memory Graphs
To understand the dynamics of a running program, it is often useful to examine its state at specific moments during its execution. We present memory graphs as a means to capture an...
Thomas Zimmermann, Andreas Zeller
ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
16 years 1 months ago
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
Chris H. Q. Ding, Tao Li, Michael I. Jordan
NIPS
2004
15 years 8 months ago
Supervised Graph Inference
We formulate the problem of graph inference where part of the graph is known as a supervised learning problem, and propose an algorithm to solve it. The method involves the learni...
Jean-Philippe Vert, Yoshihiro Yamanishi