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,...
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...
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...
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....
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...