cluster analysis

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Related to cluster analysis: factor analysis, Discriminant analysis

clus·ter a·nal·y·sis

a set of statistical methods used to group variables or observations into strongly interrelated subgroups.

cluster analysis

Etymology: AS, clyster, growing together; Gk, analyein, to loosen
(in statistics) a complex technique of data analysis of numeric scale scores that produces clusters of variables related to one another. The technique is performed with computer software or statistics programs.

clus·ter anal·y·sis

(klŭstĕr ă-nali-sis)
Set of statistical methods used to group variablesor observations into strongly interrelated subgroups.

cluster analysis

a statistical method of arranging a set of observations into sub-sets, each of which groups together those observations having similarities.

cluster analysis,

n a complex statistical technique of data analysis of numeric scale scores, producing clusters of variables related to one another.


1. in epidemiological terms a naturally occurring group of similar units, e.g. animals which resemble each other, with respect to one or more variables, more than animals in different groups do, or a group of cases of a single disease in time or space.
2. assembly of claw and teat cups, as part of a milking machine.

cluster analysis
1. statistical methods used to group variables or observations into strongly interrelated subgroups.
2. a statistical analysis of the relationships between clusters in time and/or space.
cluster fly
see polleniarudis.
cluster sampling
see cluster sampling.
References in periodicals archive ?
The two-step cluster analysis identified second impact and second rebound as the strongest contributors to cluster membership.
To further evaluate the application of whole-genome cluster analysis to S.
Using cluster analysis, a customer 'type' can represent a homogeneous market segment.
It is ascertained that the optimal number of FABs in the target airspace can be determined by applying hierarchical clustering methods, and in order to avoid the potential different results of the target airspace due to the application of different cluster analysis techniques, it is advisable to select the two most appropriate methods for airspace analysis since comparison of their results would ensure the identification of the optimal FAB number and form.
022 Table 2: Variables used in the cluster analysis of the rainfall and crops Variables Annual June-October Paddy Yield rainfall rainfall (SWM) (kg/ha) (mm) Cluster-1 Cluster-2 Cluster-3 Cluster-4 Variables Groundnut Cotton Yield Yield (kg/ha) (Kg/ha) Cluster-1 Cluster-2 Cluster-3 Cluster-4 Table 3: Observations of Ordinary Least Square Model Commodities Farm Harvest Prices, Production Index number, Annual rainfall Multiple R R Square t stat Paddy 0.
To adjust for differences among hospitals in systematic risks, Stefos, Lavallee, and Holden (1992) defined peer groups using cluster analysis so that the various characteristics of the hospitals in a group tended to be similar.
In k-medoid cluster analysis centers are selected from the data set itself.
That is, our goal is to perform a cluster analysis on two extremely sparse casino player tracking datasets, where the rows correspond to customers and the columns to slot machines.
They identified 293 children for cluster analysis and used the Aberrant Behavior Checklist-Community (ABC-C) and the Autism Behavior Checklist to identify autism features.
Five types of consumer groups were identified through hierarchical cluster analysis and the preferred key attributes were explored for each group," said Rahman.
To choose a variant of the manufacturing process has been proposed the method of cluster analysis.