Tag: PCA
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Possible new idea with tSNE
Dimensionality reduction is in the hurt of molecular dynamics simulations keeping in mind its importance in reducing the high-dimension data produced during molecular dynamics simulations. It also found application in building Markov State Models and also used as CVs to drive enhanced sampling simulations. Several dimensionality reduction techniques have been used over the years such…
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Analysis of MD trajectory using tSNE
Before starting anything with tSNE let’s read what is tSNE and how it has been compared with PCA. You can read it here. Several implementations of t-SNE are available here. A great introductory video on tSNE can be found here. The dataset used in this explanation can be accessed here (named combine_times_ca.dcd and corresponding GRO file…