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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 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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