Gunnar Carlsson, Mikael Vejdemo-Johansson.
Topological Data Analysis with Applications.
CUP. 2022
The continued and dramatic rise in the size of data sets
has meant that new methods are required to model and analyze them.
This timely account introduces topological date analysis (TDA),
a method for modeling data by geometric objects,
namely graphs and their higher-dimensional versions, simplicial complexes.
The authors outline the necessary background material on topology and
data philosophy for newcomers,
while more complex concepts are highlighted for advanced learners.
The book covers all the main TDA techniques,
including persistent homology, cohomology, and Mapper.
The final section focuses on the diverse applications of TDA,
examining a number of case studies ranging from monitoring
the progression of infectious diseases to the study of motion capture data.
Mathematicians moving into data science, as well as data scientists or computer scientists seeking to understand this new area, will appreciate this self-contained resource which explains the underlying technology and how it can be used.