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Home Multivariate Data Modeling Classification and Discrimination Cluster Analysis Introduction  
See also: agglomerative clustering, similarity measures, Confidence Interval  
Cluster Analysis
"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 shows two clusters. Cluster analysis can help to find such clusters automatically.


Home Multivariate Data Modeling Classification and Discrimination Cluster Analysis Introduction 
Last Update: 20121008