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Clustering for Data Mining: A Data Recovery Approach (Chapman & Hall/CRC Computer Science & Data Analysis)
Clustering for Data Mining: A Data Recovery Approach (Chapman & Hall/CRC Computer Science & Data Analysis)
Often considered more as an art than a science, the field of clustering has been dominated by learning through examples and by techniques chosen almost through trial-and-error. Even the most popular clustering methods--K-Means for partitioning the data set and Ward's method for hierarchical clustering--have lacked the theoretical...
Handbook of Approximate Bayesian Computation (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Handbook of Approximate Bayesian Computation (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead. For the very first time in a single volume, the Handbook of Approximate Bayesian Computation (ABC) presents an extensive overview of the theory, practice and application of ABC methods. These simple, but...

Statistical Computing in C++ and R (Chapman & Hall/CRC The R Series)
Statistical Computing in C++ and R (Chapman & Hall/CRC The R Series)

With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writing of code rather...

Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition)

Traditional books on machine learning can be divided into two groups ― those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning...

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)―classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is...

Exploratory Data Analysis with MATLAB, Second Edition (Chapman & Hall/CRC Computer Science & Data Analysis)
Exploratory Data Analysis with MATLAB, Second Edition (Chapman & Hall/CRC Computer Science & Data Analysis)

Since the publication of the bestselling first edition, many advances have been made in exploratory data analysis (EDA). Covering innovative approaches for dimensionality reduction, clustering, and visualization, Exploratory Data Analysis with MATLAB®, Second Edition uses numerous examples and applications to...

Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science)
Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science)

Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data...

Cisco IOS Access Lists
Cisco IOS Access Lists
Cisco IOS Access Lists takes a methodical approach to access lists and their capabilities, and is ideal for administrators of Cisco equipment who have configured access lists before but feel as if they're not taking full advantage of their capabilities (which, author Jeff Sedayao proves, extend well beyond security). Much of what Sedayao...
The Marino Mission: One Girl, One Mission, One Thousand Words; 1,000 Need-to-Know *SAT Vocabulary Words
The Marino Mission: One Girl, One Mission, One Thousand Words; 1,000 Need-to-Know *SAT Vocabulary Words

One unforgettable story.1,000 unforgettable SAT vocabulary words.

Alexa McCurry leads an ordinary teenager's life in upstate New York—until she embarks on a summer adventure in Central America. While working at a potentially boring internship in a marine DNA lab, she befriends a local boy, José, and a remarkable dolphin,...

Customer and Business Analytics (Chapman & Hall/CRC The R Series)
Customer and Business Analytics (Chapman & Hall/CRC The R Series)

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools....

Mobius and his Band: Mathematics and Astronomy in Nineteenth-Century Germany
Mobius and his Band: Mathematics and Astronomy in Nineteenth-Century Germany
August Mobius was one of the 19th century's most influential mathematicians and astronomers. Written by six distinguished contributors, this book explores the work of Mobius and his brilliant German contemporaries. The work emphasizes those achievements which in many ways can be seen to reflect the exciting advances taking place at the time...
Exploratory Multivariate Analysis by Example Using R (Chapman & Hall/CRC Computer Science & Data Analysis)
Exploratory Multivariate Analysis by Example Using R (Chapman & Hall/CRC Computer Science & Data Analysis)

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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