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Simultaneous clustering: A survey
- 4th International Conference on Pattern Recognition and Machine Intelligence
, 2011
"... Abstract. Although most of the clustering literature focuses on onesided clustering algorithms, simultaneous clustering has recently gained attention as a powerful tool that allows to circumvent some limitations of classical clustering approach. Simultaneous clustering methods perform clustering in ..."
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Abstract. Although most of the clustering literature focuses on onesided clustering algorithms, simultaneous clustering has recently gained attention as a powerful tool that allows to circumvent some limitations of classical clustering approach. Simultaneous clustering methods perform clustering in the two dimensions simultaneously. In this paper, we introduce a large number of existing simultaneous clustering approaches applied in bioinformatics as well as in text mining, web mining and information retrieval and classify them in accordance with the methods used to perform the clustering and the target applications.
Enhanced Navigation and Focus on TileBars with Barycenter Heuristic-based Reordering
, 2010
"... The classic TileBars paradigm has been used to show distribution information of query terms in full-text documents. However, when used to show the distribution of a large number of entities of interest to users within a document, it hinders users ’ quick comprehension due to the inherent visual comp ..."
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The classic TileBars paradigm has been used to show distribution information of query terms in full-text documents. However, when used to show the distribution of a large number of entities of interest to users within a document, it hinders users ’ quick comprehension due to the inherent visual complexity problem. In this paper, we present a novel approach to improve the visual presentation of Tile-Bars, in which barycenter heuristic for bigraph crossing minimization is used to reorder TileBars ’ elements. The reordered TileBars enables users to quickly and easily identify which entities appear in the beginning, end, or throughout a document. A user study has shown that the reordered TileBars can provide users with better focus and navigation while exploring text documents.
A NEW SURVEY ON BICLUSTERING OF MICROARRAY DATA
"... There are subsets of genes that have similar behavior under subsets of conditions, so we say that they coexpress, but behave independently under other subsets of conditions. Discovering such coexpressions can be helpful to uncover genomic knowledge such as gene networks or gene interactions. That is ..."
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There are subsets of genes that have similar behavior under subsets of conditions, so we say that they coexpress, but behave independently under other subsets of conditions. Discovering such coexpressions can be helpful to uncover genomic knowledge such as gene networks or gene interactions. That is why, it is of utmost importance to make a simultaneous clustering of genes and conditions to identify clusters of genes that are coexpressed under clusters of conditions. This type of clustering is called biclustering. Biclustering is an NP-hard problem. Consequently, heuristic algorithms are typically used to approximate this problem by finding suboptimal solutions. In this paper, we make a new survey on biclustering of gene expression data, also called microarray data.
