l features, through a comparison of the central structures from
different methods.
A very good reference on clustering is the book by J.A. Hartigan
"Clustering Algorithms".
Best regards,
Nikos Sgourakis
Carlos Javier Nuñez Aguero wrote:
Hi all,
How are you?
In Gromacs, the cluste
Dear GROMACS users,
Here I have implemented the k-means clustering algorithm in the
original GROMACS module, gmx_cluster.c (called by the wrapper g_cluster).
k-means is a heuristic algorithm that finds the partition of n points
(conformations) in k groups (clusters), such that the sum of the
d
Hello,
Instead of using system calls, you may also use the pymacs python
interface by Daniel Seelinger:
http://www.mpibpc.mpg.de/groups/grubmueller/start/people/dseelig/pymacs.html
You can access all information in an xtc file in an object-oriented manner.
Nikos
Andrea C. Vaiana wrote:
Hello
Hello,
I am trying to use g_cluster. However, the result I am obtaining when
using a pre-calculated RMSD matrix with the -dm option is quite
different than the one I get when the RMSD matrix is calculated by
g_cluster from a trjectory of structures. Is this a matter of precision
in the xpm
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