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ICML
2007
IEEE
16 years 7 months ago
Graph clustering with network structure indices
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
Matthew J. Rattigan, Marc Maier, David Jensen
PKDD
2009
Springer
175views Data Mining» more  PKDD 2009»
16 years 1 months ago
Latent Dirichlet Bayesian Co-Clustering
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey
EGPGV
2004
Springer
214views Visualization» more  EGPGV 2004»
16 years 3 days ago
Hierarchical Visualization and Compression of Large Volume Datasets Using GPU Clusters
We describe a system for the texture-based direct volume visualization of large data sets on a PC cluster equipped with GPUs. The data is partitioned into volume bricks in object ...
Magnus Strengert, Marcelo Magallón, Daniel ...
IEEEPACT
2000
IEEE
15 years 11 months ago
Instruction Scheduling for Clustered VLIW DSPs
Recent digital signal processors (DSPs) show a homogeneous VLIW-like data path architecture, which allows C compilers to generate efficient code. However, still some special rest...
Rainer Leupers
ADMA
2005
Springer
202views Data Mining» more  ADMA 2005»
15 years 8 months ago
A Latent Usage Approach for Clustering Web Transaction and Building User Profile
Web transaction data between web visitors and web functionalities usually convey users’ task-oriented behavior patterns. Clustering web transactions, thus, may capture such infor...
Yanchun Zhang, Guandong Xu, Xiaofang Zhou