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This book contains papers presented at the Workshop on the Analysis
of Large-scale, High-Dimensional, and Multi-Variate Data Using
Topology and Statistics, held in Le Barp, France, June 2013. It
features the work of some of the most prominent and recognized
leaders in the field who examine challenges as well as detail
solutions to the analysis of extreme scale data. The book presents
new methods that leverage the mutual strengths of both topological
and statistical techniques to support the management, analysis, and
visualization of complex data. It covers both theory and
application and provides readers with an overview of important key
concepts and the latest research trends. Coverage in the book
includes multi-variate and/or high-dimensional analysis techniques,
feature-based statistical methods, combinatorial algorithms,
scalable statistics algorithms, scalar and vector field topology,
and multi-scale representations. In addition, the book details
algorithms that are broadly applicable and can be used by
application scientists to glean insight from a wide range of
complex data sets.
This book contains papers presented at the Workshop on the Analysis
of Large-scale, High-Dimensional, and Multi-Variate Data Using
Topology and Statistics, held in Le Barp, France, June 2013. It
features the work of some of the most prominent and recognized
leaders in the field who examine challenges as well as detail
solutions to the analysis of extreme scale data. The book presents
new methods that leverage the mutual strengths of both topological
and statistical techniques to support the management, analysis, and
visualization of complex data. It covers both theory and
application and provides readers with an overview of important key
concepts and the latest research trends. Coverage in the book
includes multi-variate and/or high-dimensional analysis techniques,
feature-based statistical methods, combinatorial algorithms,
scalable statistics algorithms, scalar and vector field topology,
and multi-scale representations. In addition, the book details
algorithms that are broadly applicable and can be used by
application scientists to glean insight from a wide range of
complex data sets.
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