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ESANN
2007
13 years 9 months ago
Feature clustering and mutual information for the selection of variables in spectral data
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
Catherine Krier, Damien François, Fabrice R...
MOC
1998
73views more  MOC 1998»
13 years 7 months ago
Accelerated spectral approximation
Abstract. A systematic development of higher order spectral analysis, introduced by Dellwo and Friedman, is undertaken in the framework of an appropriate product space. Accelerated...
Rafikul Alam, Rekha P. Kulkarni, Balmohan V. Limay...
DAGSTUHL
2006
13 years 9 months ago
Detection of Plagiarism in University Projects Using Metrics-based Spectral Similarity
Abstract. An original method of spectral similarity analysis for plagiarism detection in university project is presented. The approach is based on a clone detection tool called CLA...
Ettore Merlo
ECML
2006
Springer
13 years 11 months ago
Fast Spectral Clustering of Data Using Sequential Matrix Compression
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...
Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, Wei-Yin...
WPES
2003
ACM
14 years 29 days ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...