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ICTAI
2006
IEEE
16 years 1 days ago
Preserving Patterns in Bipartite Graph Partitioning
This paper describes a new bipartite formulation for word-document co-clustering such that hyperclique patterns, strongly affiliated documents in this case, are guaranteed not to ...
Tianming Hu, Chao Qu, Chew Lim Tan, Sam Yuan Sung,...
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
16 years 3 days ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...
PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
15 years 11 months ago
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
Yu Qian, Kang Zhang, Wei Lai
ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
16 years 13 days 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
ICPR
2008
IEEE
16 years 13 days ago
A new clustering approach based on graph partitioning for navigation patterns mining
We present a study of the web based user navigation patterns mining and propose a novel approach for clustering of user navigation patterns. The approach is based on the graph par...
Mehrdad Jalali, Norwati Mustapha, Ali Mamat, Nasir...