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Applied Biclustering Methods for Big and High Dimensional Data Using R (Hardcover)

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Biclustering is a data-mining technique that allows simultaneous clustering of rows and columns within a matrix. This book focuses on biclustering as an unsupervised learning method for high-dimensional data and big data structure. The book covers this increasingly important methodology and illustrates its versatility beyond the analysis of gene expression. The book also provides easy-to-follow illustrations of how biclustering can be implemented in practice using the R-based user-friendly graphical interface BiclustGUI.

Number of Pages: 250
Genre: Mathematics
Sub-Genre: Probability + Statistics / General
Series Title: Chapman & Hall/Crc Biostatistics
Format: Hardcover
Publisher: Taylor & Francis
Language: English
Street Date: October 4, 2016
TCIN: 51156980
UPC: 9781482208238
Item Number (DPCI): 248-16-8474
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