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Manure-Amended One-Year-Reclamation Promoted Soil Bacterial Phylotypic and Phenotypic Shifts in a Typical Coal-Mining Area. [PDF]
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Topological biclustering ARTMAP for identifying within bicluster relationships
Neural Networks, 2023Biclustering is a powerful tool for exploratory data analysis in domains such as social networking, data reduction, and differential gene expression studies. Topological learning identifies connected regions that are difficult to find using other traditional clustering methods and produces a graphical representation.
Raghu Yelugam +2 more
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Journal of Travel Research, 2011
Data-driven market segmentation is a popular and widely used segmentation method in tourism. It aims to identify market segments among tourists who are similar to each other, thus allowing a targeted marketing mix to be developed. Typically data used to segment tourists are characterized by small numbers of respondents and large numbers of survey ...
Dolnicar, Sara +3 more
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Data-driven market segmentation is a popular and widely used segmentation method in tourism. It aims to identify market segments among tourists who are similar to each other, thus allowing a targeted marketing mix to be developed. Typically data used to segment tourists are characterized by small numbers of respondents and large numbers of survey ...
Dolnicar, Sara +3 more
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2011
The search for similarities in large data sets has a very important role in many scientific fields. It permits to classify several types of data without an explicit information about it. In many cases researchers use analysis methodologies such as clustering to classify data with respect to the patterns and conditions together.
E. NOSOVA +3 more
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The search for similarities in large data sets has a very important role in many scientific fields. It permits to classify several types of data without an explicit information about it. In many cases researchers use analysis methodologies such as clustering to classify data with respect to the patterns and conditions together.
E. NOSOVA +3 more
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Assessing the quality of biclusters using fuzzy biclustering index
International Journal of Data Mining and Bioinformatics, 2016Several algorithms are proposed in the literature for extracting local patterns from a large data matrix. This technique of data mining is known as biclustering. Each of the biclustering algorithms is specialised in extracting different kinds of biclusters. Some algorithms detect equal biclusters, whereas some identify scaled biclusters Madeira et al.,
Nishchal Kumar Verma +2 more
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International Journal of Biomedical Engineering and Technology, 2018
Clustering has various methods for solving the different research problems in biological domain. Analysis of gene expression data in biomedical filed is very critical task, in which various algorithms are proposed under different experimental conditions.
E. Saravana Kumar +3 more
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Clustering has various methods for solving the different research problems in biological domain. Analysis of gene expression data in biomedical filed is very critical task, in which various algorithms are proposed under different experimental conditions.
E. Saravana Kumar +3 more
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GFBA: A Biclustering Algorithm for Discovering Value-Coherent Biclusters
2007Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity of expression under different conditions. However, it is often the case that some genes behave similarly only on a subset of conditions and their behavior is uncorrelated ...
Xubo Fei +3 more
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Possibilistic biclustering algorithm for discovering value-coherent overlapping δ-biclusters
International Journal of Machine Learning and Cybernetics, 2013One of the important tools for analyzing gene expression data is biclustering method. It focuses on finding a subset of genes and a subset of experimental conditions that together exhibit coherent behavior. However, most of the existing biclustering algorithms find exclusive biclusters, which is inappropriate in the context of biology. Since biological
Chandra Das, Pradipta Maji
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Similarity Measures for Comparing Biclusterings
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014The comparison of ordinary partitions of a set of objects is well established in the clustering literature, which comprehends several studies on the analysis of the properties of similarity measures for comparing partitions. However, similarity measures for clusterings are not readily applicable to biclusterings, since each bicluster is a tuple of two ...
Danilo Horta, Ricardo J.G.B. Campello
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2018
Biclustering, which can be defined as the simultaneous clustering of rows and columns in a data matrix, has received increasing attention in recent years, being applied in many scientific scenarios (e.g. bioinformatics, text analysis, computer vision).
M. Denitto +3 more
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Biclustering, which can be defined as the simultaneous clustering of rows and columns in a data matrix, has received increasing attention in recent years, being applied in many scientific scenarios (e.g. bioinformatics, text analysis, computer vision).
M. Denitto +3 more
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