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Cluster Analysis (Quantitative Applications in the Social Sciences),New
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Although clusteringthe classifying of objects into meaningful setsis an important procedure, cluster analysis as a multivariate statistical procedure is poorly understood. This volume is an introduction to cluster analysis for professionals, as well as advanced undergraduate and graduate students with little or no background in the subject. Reaching across disciplines, Aldenderfer and Blashfield pull together the newest information on cluster analysisproviding the reader with a pragmatic guide to its current uses, statistical techniques, validation methods, and compatible software programs.
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- Q: What is the main focus of 'Cluster Analysis (Quantitative Applications in the Social Sciences)'? A: The book focuses on introducing cluster analysis as a multivariate statistical procedure, aiming to clarify its methods and applications for professionals and students.
- Q: Who is the author of this book? A: The book is authored by Mark S. Aldenderfer.
- Q: What is the publication date of this book? A: The book was published on November 1, 1984.
- Q: How many pages does the book contain? A: The book contains a total of 88 pages.
- Q: What is the condition of the book? A: The book is listed as 'New'.
- Q: What type of binding does this book have? A: The book is available in a paperback binding.
- Q: Is this book suitable for beginners in cluster analysis? A: Yes, the book is designed for professionals as well as advanced undergraduate and graduate students with little or no background in cluster analysis.
- Q: What are the key features of this book? A: The key feature of this book is that it provides a pragmatic guide to cluster analysis, including its current uses, statistical techniques, and validation methods.
- Q: Does the book include software recommendations for cluster analysis? A: Yes, the book discusses compatible software programs used in cluster analysis.
- Q: What category does this book fall under? A: The book falls under the category of Probability & Statistics.