A class to cluster structures. More...

Detailed Description

A class to cluster structures.

Uses scipy's cdist function to compute distance matrices and sklearn's kmeans clustering module.

Definition at line 183 of file pmi/Analysis.py.

Public Member Functions
def	__init__
	Constructor. More...

def	do_cluster
	Run K-means clustering. More...

def	fill
	Add coordinates for a single model. More...

Constructor & Destructor Documentation

def IMP.pmi.analysis.Clustering.__init__	(	self,
		rmsd_weights = `None`
	)

Constructor.

Parameters

rmsd_weights Flat list of weights for each particle (if they're coarse)

Definition at line 188 of file pmi/Analysis.py.

def IMP.pmi.analysis.Clustering.do_cluster	(	self,
		number_of_clusters,
		seed = `None`
	)

Run K-means clustering.

Parameters

number_of_clusters	Num means
seed	the random seed

Definition at line 252 of file pmi/Analysis.py.

def IMP.pmi.analysis.Clustering.fill	(	self,
		frame,
		Coords
	)

Add coordinates for a single model.

Definition at line 209 of file pmi/Analysis.py.

The documentation for this class was generated from the following file: