2016-12-05We will first review the basic mathematical concepts underlying topological data analysis. We will then see what happens, by explicitly investigating some examples given in Ghrist's article. The thesis will conclude with a discussion of persistent homology groups and barcodes
We establish a new theory which unifies various aspects of topo- logical approaches for data science...
We set the foundations for a new approach to Topological Data Analysis (TDA) based on homotopical me...
Topolojinin verilerle ilişkisi matematiksel bir biçim olan ve geometrik nesneden topolojik bilgi çık...
The topological data analysis studies the shape of a space at multiple scales. Its main tool is pers...
This paper tackles an important problem in topological data analysis – improving computational effic...
In the last years, there has been done research in using topology as a new tool for studying data se...
Persistent homology is a powerful notion rooted in topological data analysis which allows for retrie...
This article surveys recent work of Carlsson and collaborators on applications of computational alge...
This document introduces a combinatorial theory of homology, a topological descriptor of shape. The ...
Persistent homology is a powerful tool in Topological Data Analysis (TDA) to capture the topological...
Topological data analysis is a branch of computational topology which uses algebra to obtain topolo...
This document introduces a combinatorial theory of homology, a topological descriptor of shape. The ...
Abstract Persistent homology (PH) is a method used in topological data analysis (TDA) to study quali...
This article surveys recent work of Carlsson and collaborators on applications of computational alge...
Abstract. This article surveys recent work of Carlsson and collaborators on applications of computat...
We establish a new theory which unifies various aspects of topo- logical approaches for data science...
We set the foundations for a new approach to Topological Data Analysis (TDA) based on homotopical me...
Topolojinin verilerle ilişkisi matematiksel bir biçim olan ve geometrik nesneden topolojik bilgi çık...
The topological data analysis studies the shape of a space at multiple scales. Its main tool is pers...
This paper tackles an important problem in topological data analysis – improving computational effic...
In the last years, there has been done research in using topology as a new tool for studying data se...
Persistent homology is a powerful notion rooted in topological data analysis which allows for retrie...
This article surveys recent work of Carlsson and collaborators on applications of computational alge...
This document introduces a combinatorial theory of homology, a topological descriptor of shape. The ...
Persistent homology is a powerful tool in Topological Data Analysis (TDA) to capture the topological...
Topological data analysis is a branch of computational topology which uses algebra to obtain topolo...
This document introduces a combinatorial theory of homology, a topological descriptor of shape. The ...
Abstract Persistent homology (PH) is a method used in topological data analysis (TDA) to study quali...
This article surveys recent work of Carlsson and collaborators on applications of computational alge...
Abstract. This article surveys recent work of Carlsson and collaborators on applications of computat...
We establish a new theory which unifies various aspects of topo- logical approaches for data science...
We set the foundations for a new approach to Topological Data Analysis (TDA) based on homotopical me...
Topolojinin verilerle ilişkisi matematiksel bir biçim olan ve geometrik nesneden topolojik bilgi çık...