[PDF.70no] Applied Biclustering Methods for Big and High-Dimensional Data Using R (Chapman & Hall/CRC Biostatistics Series)

Applied Biclustering Methods for Big and High-Dimensional Data Using R (Chapman & Hall/CRC Biostatistics Series)

[PDF.ws22] Applied Biclustering Methods for Big and High-Dimensional Data Using R (Chapman & Hall/CRC Biostatistics Series)

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 | #4190960 in Books |  2016-10-04 | Original language:English | PDF # 1 |  9.25 x6.25 x1.00l,.0 | File type: PDF | 433 pages

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|| ||"One finds here not only the final results illustrated frequently in colour images, but also the main steps of calculations in R with a possibility to access freely the software located somewhere in the cloud. The book represents an interesting and useful ini

Proven Methods for Big Data Analysis

As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including how to discover meaningful patterns in the vast amounts of data. Addressing these problems, Applied Biclustering Methods for Big and High-Dimensional Data Using R shows how to apply biclustering methods to find local patterns in a big data matrix.

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