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» Cluster Analysis of High-Dimensional Data: A Case Study
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BIOSURVEILLANCE
2007
Springer
14 years 2 months ago
Global Foot-and-Mouth Disease Surveillance Using BioPortal
Abstract. The paper presents a description of the FMD BioPortal biosurveillance system (http://fmd.ucdavis.edu/bioportal/) that is currently operating to capture, analyze, and diss...
Mark Thurmond, Andrés Perez, Chunju Tseng, ...
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
14 years 2 months ago
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
CCGRID
2007
IEEE
13 years 12 months ago
STORM: An Approach to Database Storage Management in Clustered Storage Environments
Database storage management in clustered storage environments is a manual, time-consuming, and error-prone task. Such management involves regular movement of database objects acro...
Kaushik Dutta, Raju Rangaswami
ICPR
2010
IEEE
13 years 5 months ago
Performance Evaluation of Automatic Feature Discovery Focused within Error Clusters
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
Sui-Yu Wang, Henry S. Baird
KAIS
2006
126views more  KAIS 2006»
13 years 7 months ago
Fast and exact out-of-core and distributed k-means clustering
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
Ruoming Jin, Anjan Goswami, Gagan Agrawal