Time-lagged independent component analysis is a dimensionality reduction technique which transforms a high dimensional dataset to lower dimensional co-ordinates. It’s philosophy is kind of similar to PCA (principal component analysis). For more […]
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 […]
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 […]
