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» An overview of clustering methods
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WAIM
2009
Springer
14 years 3 months ago
SLICE: A Novel Method to Find Local Linear Correlations by Constructing Hyperplanes
Finding linear correlations in dataset is an important data mining task, which can be widely applied in the real world. Existing correlation clustering methods combine clustering w...
Liang Tang, Changjie Tang, Lei Duan, Yexi Jiang, J...
ICDM
2009
IEEE
165views Data Mining» more  ICDM 2009»
14 years 3 months ago
Cross-Guided Clustering: Transfer of Relevant Supervision across Domains for Improved Clustering
—Lack of supervision in clustering algorithms often leads to clusters that are not useful or interesting to human reviewers. We investigate if supervision can be automatically tr...
Indrajit Bhattacharya, Shantanu Godbole, Sachindra...
SIGIR
2006
ACM
14 years 2 months ago
Feature diversity in cluster ensembles for robust document clustering
The performance of document clustering systems depends on employing optimal text representations, which are not only difficult to determine beforehand, but also may vary from one ...
Xavier Sevillano, Germán Cobo, Francesc Al&...
ESEC
1999
Springer
14 years 1 months ago
The CIP Method: Component- and Model-Based Construction of Embedded Systems
CIP is a model-based software development method for embedded systems. The problem of constructing an embedded system is decomposed into a functional and a connection problem. The ...
Hugo Fierz
EDBT
2009
ACM
302views Database» more  EDBT 2009»
14 years 3 months ago
RankClus: integrating clustering with ranking for heterogeneous information network analysis
As information networks become ubiquitous, extracting knowledge from information networks has become an important task. Both ranking and clustering can provide overall views on in...
Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin,...