Applied Biclustering Methods for Big and High Dimensional Data Using R is popular PDF and ePub book, written by Adetayo Kasim in 2016-10-03, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Applied Biclustering Methods for Big and High Dimensional Data Using R can be Read Online from any device for your convenience.
Applied Biclustering Methods for Big and High Dimensional Data Using R Book PDF Summary
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. The book presents an overview of data analysis using biclustering methods from a practical point of view. Real case studies in drug discovery, genetics, marketing research, biology, toxicity, and sports illustrate the use of several biclustering methods. References to technical details of the methods are provided for readers who wish to investigate the full theoretical background. All the methods are accompanied with R examples that show how to conduct the analyses. The examples, software, and other materials are available on a supplementary website.
Detail Book of Applied Biclustering Methods for Big and High Dimensional Data Using R PDF
- Author : Adetayo Kasim
- Release : 03 October 2016
- Publisher : CRC Press
- ISBN : 9781482208245
- Genre : Mathematics
- Total Page : 407 pages
- Language : English
- PDF File Size : 15,6 Mb
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