Key Features
@introbul:Key Features
@bul:* Describes, in detail, exploratory data analysis techniques from the univariate to the multivariate ones
* Features a complete description of correspondence analysis and factor analysis techniques as multidimensional statistical data analysis techniques, illustrated with concrete and understandable examples
* Includes a modern and up-to-date description of clustering algorithms with many properties which gives a new role of clustering in data analysis techniques
Description
With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the most important data analysis techniques.
Readership
Researchers, students, and professionals who analyze data in any field, including economics, geology, marketing, psychology, linguistics, social sciences, medicine, chemistry, biology, business administration, telecommunications, and engineering sciences.
