Discovering local structure in gene expression data: the order-preserving submatrix problem
Proceedings of the sixth annual international conference on Computational biology
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
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The paper describes several data mining techniques, developed to solve problems which are faced by biologists in Bioinformatics.Several biclustering algorithms which perform clustering on the two dimensions simultaneously are described. Other techniques described in this paper include feature selection methods which help in reducing noise and improving the performance of the classification model.