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