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Table of Contents Multivariate Data Modeling Classification and Discrimination Cluster Analysis Cluster Analysis | |
See also: agglomerative clustering, similarity measures |
"Cluster Analysis" is the generic term for multivariate methods which
attempt to find structures ("clusters") in the data. These methods are
mostly based on calculations of the distance of the observations in multidimensional
data space. Basically, cluster analysis will give answers to one of the
following three questions:
At right you see a plot of about 150 data of three different kinds of flowers (50 each) which clearly show two clusters. Cluster analysis can help to find such clusters automatically.
The results of a cluster analysis are often displayed as dendrograms
which show the multidimensional relationships as a two dimensional line
plot. In general, cluster analysis methods can be grouped into several
categories:
Last Update: 2005-Jän-25