Cluster Analysis

Cluster analysis or clustering is the assignment of a set of observations into subsets (called clusters) so that observations in the same cluster are similar in some sense.

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Cluster analysis ...

Cluster analysis
Cluster-weighted modeling
Clustering high-dimensional data
Combinatorial data analysis
Contingency table
Convex hull
Correlation clustering
Correspondence analysis
Counternull
Covariance matrix
Cumulative frequency analysis ...

The most common analysis is some form of cluster analysis. It is often an illogical framework for analysis. This has been discussed elsewhere (Lees, 1994, 1995; Aspinall and Lees, 1994).

The map stack on the left shows the input maps used for the cluster analysis. The maps are the same P, K, and N maps identifying phosphorous, potassium and nitrogen levels used in the previous discussions in this section.

raster data in ESRI software, consisting of an ordered set of spatially overlapping grids (referred to as layers) referenced by an INFO file or geodatabase. A stack is treated as a single entity for multivariate analysis. Cluster analysis, ...

cluster analysis p. 203 a procedure that groups points in a multidimensional space (attribute measurements) into clusters that minimize the distance from cluster centers (or some other objective function). Cohen's kappa p.

See also: Analysis, GIS, Class, Information, Area