Matrix Methods in Data Mining and Pattern Recognition Second Edition is popular PDF and ePub book, written by Lars Elden in 2019-08-30, 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, Matrix Methods in Data Mining and Pattern Recognition Second Edition can be Read Online from any device for your convenience.
Matrix Methods in Data Mining and Pattern Recognition Second Edition Book PDF Summary
This thoroughly revised second edition provides an updated treatment of numerical linear algebra techniques for solving problems in data mining and pattern recognition. Adopting an application-oriented approach, the author introduces matrix theory and decompositions, describes how modern matrix methods can be applied in real life scenarios, and provides a set of tools that students can modify for a particular application. Building on material from the first edition, the author discusses basic graph concepts and their matrix counterparts. He introduces the graph Laplacian and properties of its eigenvectors needed in spectral partitioning and describes spectral graph partitioning applied to social networks and text classification. Examples are included to help readers visualize the results. This new edition also presents matrix-based methods that underlie many of the algorithms used for big data. The book provides a solid foundation to further explore related topics and presents applications such as classification of handwritten digits, text mining, text summarization, PageRank computations related to the Google search engine, and facial recognition. Exercises and computer assignments are available on a Web page that supplements the book. This book is primarily for undergraduate students who have previously taken an introductory scientific computing/numerical analysis course and graduate students in data mining and pattern recognition areas who need an introduction to linear algebra techniques.
Detail Book of Matrix Methods in Data Mining and Pattern Recognition Second Edition PDF
- Author : Lars Elden
- Release : 30 August 2019
- Publisher : SIAM
- ISBN : 9781611975864
- Genre : Mathematics
- Total Page : 229 pages
- Language : English
- PDF File Size : 16,9 Mb
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