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IPCCC
2005
IEEE
15 years 5 months ago
Cluster-based input/output trace synthesis
I/O traces are crucial for understanding the performance of new storage architectures. Unfortunately, traces are extremely bursty and difficult to characterize. They are large, d...
Bo Hong, Tara M. Madhyastha, B. Zhang
PAMI
2007
202views more  PAMI 2007»
14 years 11 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
PDCAT
2007
Springer
15 years 6 months ago
Exploratory Day-Scale Behavior Assumption-Based User Clustering with the Mobile Clickstream
The mobile Internet enables 24-hour always-on computing with increased demands on time-based analysis. From an assumption that the mobile users are split into three different clus...
Toshihiko Yamakami
CVPR
2008
IEEE
16 years 1 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
VIS
2008
IEEE
204views Visualization» more  VIS 2008»
16 years 1 months ago
Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...