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Simultaneous Coherent Structure Coloring facilitates interpretable
  clustering of scientific data by amplifying dissimilarity

Simultaneous Coherent Structure Coloring facilitates interpretable clustering of scientific data by amplifying dissimilarity

12 July 2018
B. Husic
Kristy L. Schlueter-Kuck
J. Dabiri
ArXivPDFHTML

Papers citing "Simultaneous Coherent Structure Coloring facilitates interpretable clustering of scientific data by amplifying dissimilarity"

3 / 3 papers shown
Title
Deeptime: a Python library for machine learning dynamical models from
  time series data
Deeptime: a Python library for machine learning dynamical models from time series data
Moritz Hoffmann
Martin K. Scherer
Tim Hempel
Andreas Mardt
Brian M. de Silva
...
Stefan Klus
Hao Wu
N. Kutz
Steven L. Brunton
Frank Noé
AI4CE
33
101
0
28 Oct 2021
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
231
1,780
0
02 Mar 2017
Variational Koopman models: slow collective variables and molecular
  kinetics from short off-equilibrium simulations
Variational Koopman models: slow collective variables and molecular kinetics from short off-equilibrium simulations
Hao Wu
Feliks Nuske
Fabian Paul
Stefan Klus
P. Koltai
Frank Noé
107
126
0
20 Oct 2016
1