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» Clustering with the Connectivity Kernel
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SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
14 years 9 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
IPPS
2005
IEEE
14 years 3 months ago
Message Passing for Linux Clusters with Gigabit Ethernet Mesh Connections
Multiple copper-based commodity Gigabit Ethernet (GigE) interconnects (adapters) on a single host can lead to Linux clusters with mesh/torus connections without using expensive sw...
Jie Chen, William A. Watson III, Robert Edwards, W...
ICDM
2010
IEEE
232views Data Mining» more  ICDM 2010»
13 years 7 months ago
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration
Community detection is an important task for mining the structure and function of complex networks. Many pervious approaches are difficult to detect communities with arbitrary size...
Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, ...
JPDC
2007
191views more  JPDC 2007»
13 years 9 months ago
Clustering wireless ad hoc networks with weakly connected dominating set
The increasing popular personal communications and mobile computing require a wireless network infrastructure that supports selfconfiguration and self-management. Efficient clus...
Bo Han, Weijia Jia
NIPS
2003
13 years 11 months ago
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
Liva Ralaivola, Florence d'Alché-Buc