Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
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...
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...
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...
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...