Cluster Analysis
O. Conrad (c) 2010
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
- Table
Input Table
-
- Attributes
Parameters
-
- 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.