# Cluster Analysis for Grids

O.Conrad (c) 2001
Cluster Analysis for grids.
References:
Iterative Minimum Distance:
- Forgy, E. (1965):
'Cluster Analysis of multivariate data: efficiency vs. interpretability of classifications',
Biometrics 21:768
Hill-Climbing:- Rubin, J. (1967):
'Optimal Classification into Groups: An Approach for Solving the Taxonomy Problem',
J. Theoretical Biology, 15:103-144

## Parameters

Grid system
Grid system
  Grid system
Grids
Input Grid list
Clusters
Output Grid
Statistics
Output Table
Method
Choice
  Available choices: Iterative Minimum Distance (Forgy 1965), Hill-Climbing (Rubin 1967), Combined Minimum Distance / Hillclimbing
Clusters
Integer
  Number of clusters
  Minimum: 2.0
Normalise
Boolean
  Automatically normalise grids by standard deviation before clustering.
Old Version
Boolean
  slower but memory saving
Update View
Boolean