(b) The first step of the Mapper algorithm is selecting a distance metric and optionally computing pairwise distances between all data points. One chooses between a magnitude metric such as Euclidean ...

D_BCMO-Mapper is a metaheuristic framework for automatic hyperparameter optimization in Topological Data Analysis (TDA). It combines the D-Mapper algorithm (distribution-guided Mapper) with BCMO ...

Although Mapper has successfully revealed brain dynamics at rest and task-evoked states, the algorithm’s parameter choices and their impact on the final resulting shape graphs are rarely scanned ...

In the published article, there was an error. We made a mistake in describe variables in the predictive model. A correction has been made to the Discussion, Paragraph ...