This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data. A major objective of this book is to present to applied researchers a set of methods and algorithms for graphical representation and clustering of asymmetric relationships. Data frequently concern measurements of asymmetric relationships between pairs of objects from a given set (e.g., subjects, variables, attributes,...), collected in one or more matrices. Examples abound in many different fields such as psychology, sociology, marketing research, and linguistics and more recently several applications have appeared in technological areas including cybernetics, air traffic control, robotics, and network analysis. The capabilities of the presented algorithms are illustrated by carefully chosen examples and supported by extensive data analyses. A review of the specialized statistical software available for the applications is also provided. This monograph is highly recommended to readers who need a complete and up-to-date reference on methods for asymmetric proximity data analysis.
This volume is a collection of papers on topics focused around concurrency, based on research work presented at the UK/Japan Workshop held at Wadham College, Oxford, September 25-27, 1989. The volume is organized into four parts: - Papers on theoretical aspects of concurrency which reflect strong research activities in the UK, including theories on CCS and temporal logic RDL. - Papers on object orientation and concurrent languages which reflect major research activities on concurrency in Japan. The languages presented include extensions of C, Prolog and Lisp as well as object-based concurrent languages. - Papers on parallel architectures and VLSI logic, including a rewrite rule machine, a graph rewriting machine, and a dataflow architecture. - An overview of the workshop including the abstracts of the talks and the list of participants. The appendix gives a brief report of the first UK/Japan Workshop in Computer Science, held at Sendai, Japan, July 6-9, 1987.
This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data. A major objective of this book is to present to applied researchers a set of methods and algorithms for graphical representation and clustering of asymmetric relationships. Data frequently concern measurements of asymmetric relationships between pairs of objects from a given set (e.g., subjects, variables, attributes,...), collected in one or more matrices. Examples abound in many different fields such as psychology, sociology, marketing research, and linguistics and more recently several applications have appeared in technological areas including cybernetics, air traffic control, robotics, and network analysis. The capabilities of the presented algorithms are illustrated by carefully chosen examples and supported by extensive data analyses. A review of the specialized statistical software available for the applications is also provided. This monograph is highly recommended to readers who need a complete and up-to-date reference on methods for asymmetric proximity data analysis.
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