Topology is a classical field from pure mathematics for the study of shape. Topological Data Analysis is an emerging field which uses tools from topology and geometry to analysis the structure and shape of data. I will display an array of example applications in the hope that you may see opportunities for topology to provide new insights into your data
International audienceThis software paper gives an overview of the features supported by the Topolog...
In recent years, a new approach to data analysis has been developed, based on topological methods. T...
An important feature of experimental science is that data of various kinds is being produced at an u...
Abstract Propelled by a fast evolving landscape of techniques and datasets, data science is growing ...
A broad range of mathematical techniques, ranging from statistics to fuzzy logic, have been used to ...
International audienceIt has been observed since a long time that data are often carrying interestin...
Topological Data Analysis (TDA) combines topology and data analytics which offers a new perspective ...
International audienceThis tutorial presents topological methods for the analysis and visualization ...
Combining theoretical and practical aspects of topology, this book delivers a comprehensive and self...
Data has shape, and shape is the domain of geometry and in particular of its “free” part, called top...
Modern data science uses topological methods to find the structural features of data sets before fur...
This paper applies topological methods to study complex high dimensional data sets by extracting sha...
The attached file is the postprint version of the published paper.International audienceTopology is ...
Shape is data and data is shape. Biologists are accustomed to thinking about how the shape of biomol...
Topological Data Analysis is an emerging field at the intersection of algebraic topology and statist...
International audienceThis software paper gives an overview of the features supported by the Topolog...
In recent years, a new approach to data analysis has been developed, based on topological methods. T...
An important feature of experimental science is that data of various kinds is being produced at an u...
Abstract Propelled by a fast evolving landscape of techniques and datasets, data science is growing ...
A broad range of mathematical techniques, ranging from statistics to fuzzy logic, have been used to ...
International audienceIt has been observed since a long time that data are often carrying interestin...
Topological Data Analysis (TDA) combines topology and data analytics which offers a new perspective ...
International audienceThis tutorial presents topological methods for the analysis and visualization ...
Combining theoretical and practical aspects of topology, this book delivers a comprehensive and self...
Data has shape, and shape is the domain of geometry and in particular of its “free” part, called top...
Modern data science uses topological methods to find the structural features of data sets before fur...
This paper applies topological methods to study complex high dimensional data sets by extracting sha...
The attached file is the postprint version of the published paper.International audienceTopology is ...
Shape is data and data is shape. Biologists are accustomed to thinking about how the shape of biomol...
Topological Data Analysis is an emerging field at the intersection of algebraic topology and statist...
International audienceThis software paper gives an overview of the features supported by the Topolog...
In recent years, a new approach to data analysis has been developed, based on topological methods. T...
An important feature of experimental science is that data of various kinds is being produced at an u...