A New, Interactive Approach to Learning Data Science

Fuzzy clustering is a form of clustering in which each data point can belong to more than one cluster. Clustering or cluster analysis involves assigning data points to clusters such that items in the same cluster are as similar as possible, while items belonging to different clusters are as dissimilar as possible

This code lets its users get different outputs related to cluster analysis from a GROMACS simulation trajectory for multichain systems. It is slightly different from the traditional cluster analysis available in GROMACS (gmx clustsize). Please read the documentation for more details.