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LREC
2008
129views Education» more  LREC 2008»
15 years 7 months ago
Spectral Clustering for a Large Data Set by Reducing the Similarity Matrix Size
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
Hiroyuki Shinnou, Minoru Sasaki
SDM
2007
SIAM
152views Data Mining» more  SDM 2007»
15 years 7 months ago
HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering
In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...
Khaled M. Hammouda, Mohamed S. Kamel
DGO
2006
148views Education» more  DGO 2006»
15 years 7 months ago
Automatically labeling hierarchical clusters
Government agencies must often quickly organize and analyze large amounts of textual information, for example comments received as part of notice and comment rulemaking. Hierarchi...
Pucktada Treeratpituk, Jamie Callan
AINA
2008
IEEE
15 years 6 months ago
Communication Protocols and Message Formats for BLAST Parallelization on Cluster Systems
With the widespread use of BLAST, many parallel versions of BLAST on cluster systems are announced, but little work has been done for the parallel execution in the search for indi...
Hong-Soog Kim, Woo-Hyuk Jang, Dong-Soo Han
PAMI
2008
197views more  PAMI 2008»
15 years 6 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...