IMP.pmi.analysis.Clustering Class Reference

A class to cluster structures. More...

Inherits object.

Detailed Description

A class to cluster structures.

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

Note

This class is only available in Python.

Definition at line 186 of file pmi/Analysis.py.

Public Member Functions
def	do_cluster
	Run K-means clustering. More...
def	fill
	fill stores coordinates of a model into a dictionary all_coords, containing coordinates for all models. More...

Member Function Documentation

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 257 of file pmi/Analysis.py.

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

fill stores coordinates of a model into a dictionary all_coords, containing coordinates for all models.

Definition at line 202 of file pmi/Analysis.py.

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

• pmi/Analysis.py