The algorithms implemented here are presented in:
O. Yair, R. Talmon, R. R. Coifman, I. G. Kevrekidis, “No equations, no parameters, no variables: data, and the reconstruction of normal forms by learning informed observation geometries,” submitted. eprint arXiv:1612.03195
J. I. Ankenman, “Geometry and analysis of dual networks on questionnaires,” Ph.D. dissertation, Yale University, 2014.
G. Mishne, R. Talmon, R. Meir, J. Schiller, U. Dubin and R. R. Coifman, "Hierarchical Coupled Geometry Analysis for Neuronal Structure and Activity Pattern Discovery," IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 7, pp. 1238-1253, Oct. 2016.
G. Mishne, R. Talmon, I. Cohen, R. R. Coifman and Y. Kluger, "Data-Driven Tree Transforms and Metrics," accepted to IEEE Transactions on Signal and Information Processing over Networks.
A python implementation can be found at https://github.com/gmishne/pyquest