Nonlinear Dimensionality Reduction (Information Science and Statistics)
| Author | : | |
| Rating | : | 4.18 (704 Votes) |
| Asin | : | 0387393501 |
| Format Type | : | paperback |
| Number of Pages | : | 309 Pages |
| Publish Date | : | 2015-05-06 |
| Language | : | English |
DESCRIPTION:
… All in all, Nonlinear Dimensionality Reduction may serve two groups of readers differently. For each method discussed, the authors do a credible job by starting from motivating examples and intuitive ideas, introducing rigorous mathematical notation without being cumbersome, and ending with discussion and conclusion remarks. Weinberger, Journal of the American Statistical Association, Vol. " (Haonan Wang, Biometrics, June 2009, 65) "The book by Lee and Verleysen presents a comprehensive summary of the state-of-the-art of the field in a very accessible manner. Moreover, the text offers an excellent overview of the concept of intrinsic dimension. 76 (2), 2008)"The book provides an effective guide for selecting the right method and understanding potential pitfalls and limitations of the many alternative meth
This book describes established and advanced methods for reducing the dimensionality of numerical databases. Each description starts from intuitive ideas, develops the necessary mathematical details, and ends by outlining the algorithmic implementation. The presentation will appeal to statisticians, computer scientists and data analysts, and other practitioners having a basic background in statistics or computational learning.. Methods are all described from a unifying point of view, which helps to highlight their respective strengths and shortcomings. The text provides a lucid summary of facts and concepts rel