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PKDD
2004
Springer
138views Data Mining» more  PKDD 2004»
13 years 9 months ago
Combining Multiple Clustering Systems
Three methods for combining multiple clustering systems are presented and evaluated, focusing on the problem of finding the correspondence between clusters of different systems. ...
Constantinos Boulis, Mari Ostendorf
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
14 years 4 months ago
Exploiting context analysis for combining multiple entity resolution systems
Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...
ICDM
2005
IEEE
150views Data Mining» more  ICDM 2005»
13 years 10 months ago
Combining Multiple Clusterings by Soft Correspondence
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
CLUSTER
2009
IEEE
13 years 11 months ago
Combining I/O operations for multiple array variables in parallel netCDF
—Parallel netCDF (PnetCDF) is a popular library used in many scientific applications to store scientific datasets. It provides high-performance parallel I/O while maintaining ...
Kui Gao, Wei-keng Liao, Alok N. Choudhary, Robert ...
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
13 years 9 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...