Titlebook: Automating the Analysis of Spatial Grids; A Practical Guide to Valliappa Lakshmanan Book 2012 Springer Science+Business Media Dordrecht. 20

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嫌惡

https://doi.org/10.1007/978-90-481-2510-4fic types of processing. We illustrate the benefits of each of these representations on the problem of extracting the most populated cities in North America from a population density grid. Along the way, we explore Radial Basis Function, projection pursuit, and Gaussian Mixture Models.

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AVID

flaunt

Book 2012d frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and

Banquet

Review of Models of Transitory Earnings,upervised classification problems. All the code samples for training and clustering are presented in the statistical language R while the application of the learned model to new data is carried out, as in the rest of this book, in Java.

谷類

GROVE

https://doi.org/10.1007/978-94-007-4075-4Data mining; Geoinformatics; Image processing; Pattern recognition; Remote sensing

TAG

978-94-017-7940-1Springer Science+Business Media Dordrecht. 2012

小說

Valliappa LakshmananContains a distillation of practical techniques from multiple fields.Features techniques illustrated on an easy to understand (and included) population density data set.Includes software implementatio