G-Mapper optimizes cover parameter using G-means clustering for Mapper construction.
Optimizing cover selection in Mapper graphs using G-means clustering for efficient visualization.
The author introduces the G-Mapper algorithm as a method to optimize the cover selection for Mapper graphs, utilizing statistical tests and Gaussian Mixture Models. This approach aims to improve the accuracy and efficiency of generating Mapper graphs.