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CIKM
2009
Springer
15 years 11 months ago
Fragment-based clustering ensembles
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...
Ou Wu, Mingliang Zhu, Weiming Hu
ECML
2007
Springer
15 years 11 months ago
Spectral Clustering and Embedding with Hidden Markov Models
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
Tony Jebara, Yingbo Song, Kapil Thadani
137
Voted
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
15 years 10 months ago
On detecting space-time clusters
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
Vijay S. Iyengar
114
Voted
PVM
2005
Springer
15 years 10 months ago
Implementing OpenMP for Clusters on Top of MPI
llc is a language designed to extend OpenMP to distributed memory systems. Work in progress on the implementation of a compiler that translates llc code and targets distributed mem...
Antonio J. Dorta, José M. Badía, Enr...
IPPS
2007
IEEE
15 years 11 months ago
A Scalable Cluster Algorithm for Internet Resources
Applications such as parallel computing, online games, and content distribution networks need to run on a set of resources with particular network connection characteristics to ge...
Chuang Liu, Ian T. Foster