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» Scalable Density-Based Distributed Clustering
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 6 days ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 4 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
CCGRID
2008
IEEE
15 years 6 months ago
A Technique for Lock-Less Mirroring in Parallel File Systems
—As parallel file systems span larger and larger numbers of nodes in order to provide the performance and scalability necessary for modern cluster applications, the need for fau...
Bradley W. Settlemyer, Walter B. Ligon III
SDM
2009
SIAM
251views Data Mining» more  SDM 2009»
15 years 9 months ago
High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
ICADL
2003
Springer
140views Education» more  ICADL 2003»
15 years 5 months ago
LVS Digital Library Cluster with Fair Memory Utilization
A digital library system consists of LVS(Linux Virtual Server) operating with software clustering technology provides is designed on Linux environment. In the cluster of servers fa...
MinHwan Ok, Kyeongmo Kang, Myong-Soon Park