Topological data analysis (TDA) is a tool from data science and mathemat...
We introduce several geometric notions, including thick-thin decompositi...
Through the use of examples, we explain one way in which applied topolog...
Suppose each vertex of a graph is originally occupied by contamination,
...
A support vector machine (SVM) is an algorithm which finds a hyperplane ...
One approach to understanding complex data is to study its shape through...
The task of filling-in or predicting missing entries of a matrix, from a...
Multidimensional scaling (MDS) is a popular technique for mapping a fini...
A Vietoris--Rips complex is a way to thicken a (possibly discrete) metri...
We study Vietoris-Rips and Cech complexes of metric wedge sums and metri...