Методы бикластеризации для анализа интернет-данных


Библиография - часть 8


Wille R. Restructuring Lattice Theory: an Approach Based on Hierarchies of Concepts // Ordered Sets / Ed. by I. Rival.– Dordrecht; Boston: Reidel, 1982. – P. 445–470.


Jiong Yang, Wei Wang, Haixun Wang, and Philip Yu.

-clusters: Capturing subspace correlation in a large data set. In Proceedings of the 18th IEEE International Conference on Data Engineering, pages 517–528, 2002.


Jiong Yang, Wei Wang, Haixun Wang, and Philip Yu. Enhanced biclustering on expression data. In Proceedings of the 3rd IEEE Conference on Bioinformatics and Bioengineering, pages 321–327, 2003.


Mohammed J. Zaki, Ching-Jui Hsiao, Efficient Algorithms for Mining Closed Itemsets and Their Lattice Structure, IEEE Transaction on Knowledge and Data Engineering, Vol 17, No. 4, pp. 462-478, 2005.


Y.Zhao and G. Karypis, Empirical and Theoretical Comparison of Selected Criterion Functions for Document Clustering. Machine Learning, vol. 55, pp. 311-331, 2004.


L.Е. Zhukov. Technical Report: Spectral Clustering of Large Advertiser Datasets Part I. Overture R&D, 2004.

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