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Correspondence Analysis And Data Coding With Java And R (Chapman & Hall/Crc Computer Science & Data Analysis)
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Developed By Jeanpaul Benzrci More Than 30 Years Ago, Correspondence Analysis As A Framework For Analyzing Data Quickly Found Widespread Popularity In Europe. The Topicality And Importance Of Correspondence Analysis Continue, And With The Tremendous Computing Power Now Available And New Fields Of Application Emerging, Its Significance Is Greater Than Ever.Correspondence Analysis And Data Coding With Java And R Clearly Demonstrates Why This Technique Remains Important And In The Eyes Of Many, Unsurpassed As An Analysis Framework. After Presenting Some Historical Background, The Author Presents A Theoretical Overview Of The Mathematics And Underlying Algorithms Of Correspondence Analysis And Hierarchical Clustering. The Focus Then Shifts To Data Coding, With A Survey Of The Widely Varied Possibilities Correspondence Analysis Offers And Introduction Of The Java Software For Correspondence Analysis, Clustering, And Interpretation Tools. A Chapter Of Case Studies Follows, Wherein The Author Explores Applications To Areas Such As Shape Analysis And Timeevolving Data. The Final Chapter Reviews The Wealth Of Studies On Textual Content As Well As Textual Form, Carried Out By Benzcri And His Research Lab. These Discussions Show The Importance Of Correspondence Analysis To Artificial Intelligence As Well As To Stylometry And Other Fields.This Book Not Only Shows Why Correspondence Analysis Is Important, But With A Clear Presentation Replete With Advice And Guidance, Also Shows How To Put This Technique Into Practice. Downloadable Software And Data Sets Allow Quick, Handson Exploration Of Innovative Correspondence Analysis Applications.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does this book have? A: This book has two hundred fifty-six pages. It provides a comprehensive overview of correspondence analysis with detailed explanations and case studies.
- Q: What are the dimensions of the book? A: The book measures six point thirty-eight inches in length, zero point seventy-five inches in width, and nine point forty-five inches in height. These dimensions make it easy to handle and store.
- Q: What binding type is used for this book? A: This book is bound in hardcover. The hardcover offers durability and a professional appearance, suitable for library shelves or personal collections.
- Q: Who is the author of this book? A: The author of this book is Fionn Murtagh. He is known for his expertise in data analysis and has contributed significantly to the field.
- Q: What category does this book fall under? A: This book falls under the category of Programming Languages. It focuses on data analysis techniques using Java and R.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It starts with foundational concepts and gradually introduces more complex topics in correspondence analysis.
- Q: How can I apply the techniques in this book? A: You can apply the techniques through the downloadable software and data sets included. The book also provides practical guidance on implementing the methods discussed.
- Q: Are there any case studies included in the book? A: Yes, the book includes a chapter on case studies. These studies explore various applications of correspondence analysis, enhancing understanding of the concepts.
- Q: What should I do if the book arrives damaged? A: If the book arrives damaged, you should contact the seller immediately for a return or replacement. Most sellers have policies in place to handle such issues.
- Q: Is there software included with the book? A: Yes, the book includes downloadable software for correspondence analysis. This software allows for hands-on exploration of the techniques discussed.
- Q: What is the main focus of this book? A: The main focus of this book is on correspondence analysis and data coding using Java and R. It emphasizes the importance and applications of this analytical framework.
- Q: Does this book cover historical perspectives? A: Yes, the book includes historical background on correspondence analysis. This context helps readers understand the evolution and significance of the technique.
- Q: Is this book relevant for artificial intelligence? A: Yes, this book discusses the relevance of correspondence analysis to artificial intelligence. It explores its applications in various fields, including stylometry.
- Q: Can I find guidance on data coding in this book? A: Yes, the book provides guidance on data coding. It surveys the various possibilities that correspondence analysis offers for data interpretation.
- Q: What features does this book have? A: The book is described as a used book in good condition. This indicates that it has been well-maintained and is ready for use.