We introduce the persistent homotopy type distance d_HT to compare two real valued functions defined on possibly different homotopy equivalent topological spaces. The underlying idea in the definition of d_HT is to measure the minimal shift that is necessary to apply to one of the two functions in order that the sublevel sets of the two functions become homotopy equivalent. This distance is interesting in connection with persistent homology. Indeed, our main result states that d_HT still provides an upper bound for the bottleneck distance between the persistence diagrams of the intervening functions. Moreover, because homotopy equivalences are weaker than homeomorphisms, this implies a lifting of the standard stability results provided b...
A recent result on size functions is extended to higher homology modules: the persistent homology b...
Multidimensional persistence studies topological features of shapes by analyzing the lower level set...
In this paper we examine the use of topological methods for multivariate statistics. Using persisten...
We introduce the persistent homotopy type distance d_HT to compare two real valued functions defined...
Classical persistent homology is not tailored to study the action of transformation groups different...
The extended persistence diagram is an invariant of piecewise linear functions, introduced by Cohen-...
The interleaving distance is arguably the most prominent distance measure in topological data analys...
The present lack of a stable method to compare persistent homology groups with torsion is a relevant...
The natural pseudo-distance dG associated with a group G of self-homeomorphisms of a topological spa...
International audienceGiven a set P of n points and a constant k, we are interested in computing the...
International audienceGiven a set P of n points and a constant k, we are interested in computing the...
Comparison between multidimensional persistent Betti numbers is often based on the multidimensional ...
We prove that persistence diagrams with the p-Wasserstein distance form the universal p-subadditive ...
<p>In this thesis we explore and extend the theory of persistent homology, which captures topologica...
International audienceA new paradigm for point cloud data analysis has emerged recently, where point...
A recent result on size functions is extended to higher homology modules: the persistent homology b...
Multidimensional persistence studies topological features of shapes by analyzing the lower level set...
In this paper we examine the use of topological methods for multivariate statistics. Using persisten...
We introduce the persistent homotopy type distance d_HT to compare two real valued functions defined...
Classical persistent homology is not tailored to study the action of transformation groups different...
The extended persistence diagram is an invariant of piecewise linear functions, introduced by Cohen-...
The interleaving distance is arguably the most prominent distance measure in topological data analys...
The present lack of a stable method to compare persistent homology groups with torsion is a relevant...
The natural pseudo-distance dG associated with a group G of self-homeomorphisms of a topological spa...
International audienceGiven a set P of n points and a constant k, we are interested in computing the...
International audienceGiven a set P of n points and a constant k, we are interested in computing the...
Comparison between multidimensional persistent Betti numbers is often based on the multidimensional ...
We prove that persistence diagrams with the p-Wasserstein distance form the universal p-subadditive ...
<p>In this thesis we explore and extend the theory of persistent homology, which captures topologica...
International audienceA new paradigm for point cloud data analysis has emerged recently, where point...
A recent result on size functions is extended to higher homology modules: the persistent homology b...
Multidimensional persistence studies topological features of shapes by analyzing the lower level set...
In this paper we examine the use of topological methods for multivariate statistics. Using persisten...