Line 1: Line 1:
 
'''Graph Theory Clustering'''
 
'''Graph Theory Clustering'''
 +
 
dataset {x1, x2, ... , xd} no feature vector given.
 
dataset {x1, x2, ... , xd} no feature vector given.
 +
 
given dist(xi, xj)
 
given dist(xi, xj)
  
 
Construct a graph:
 
Construct a graph:
 +
 
node represents the objects.
 
node represents the objects.
 +
 
edges are relations between objects.
 
edges are relations between objects.
 +
 
edge weights represents distances.
 
edge weights represents distances.

Revision as of 10:26, 8 April 2008

Graph Theory Clustering

dataset {x1, x2, ... , xd} no feature vector given.

given dist(xi, xj)

Construct a graph:

node represents the objects.

edges are relations between objects.

edge weights represents distances.

Alumni Liaison

Basic linear algebra uncovers and clarifies very important geometry and algebra.

Dr. Paul Garrett