Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis...

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Collecting, analyzing, and extracting valuable information froma large amount of data requires easily accessible, robust,computational and analytical tools. Data Mining and BusinessAnalytics with R utilizes the open source software R for theanalysis, exploration, and simplification of large high-dimensionaldata sets. As a result, readers are...

While traditional studies of dress and jewelry have tended to focus purely on reconstruction or descriptions of style, chronology and typology, the social context of costume is now a major research area in archaeology. This refocusing is largely a result of the close relationship between dress and three currently popular topics: identity,...

The second edition of this accepted reference work has been updated to reflect the rapid developments in the field and now covers both 2D and 3D imaging.
Written by expert practitioners from leading companies operating in machine vision, this one-stop handbook guides readers through all aspects of image acquisition and image...

• A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices
• Get to grips with the basics of Predictive...