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 purpose of the current experiments was to examine husband-wife decision-making using cluster analysis to identify common decision-making strategies couples use when making decisions.
We calculate all means of varieties, and prepare to cluster analysis.
In addition to cluster analysis, the homicide information was tracked through space with the aid of GIS technology.
Principal coordinate divided the 20 genotypes into 4 groups in a similar pattern as grouped in the cluster analysis diagram (Fig.
All the above authors, using cluster analysis in order to create diversified groups of countries within a given set, have chosen criteria they find appropriate.
Based on the analysis comparison of clustering method based on fuzzy equivalence relation and fuzzy clustering method, on the basis of a combined fuzzy clustering analysis method is proposed, and the mixture of Java programming technology, developed a beautiful interface, convenient operation, effect and practical system of the fuzzy cluster analysis.
The genetic profiles of animals of group 1 obtained by hierarchical cluster analysis indicated the existence of different shapes of the genetic curves within the same group, although these animals exhibited EBVs above the average for partial measures, peak yield and complete lactation.
Thus, before performing the cluster analysis, it is recommended to check for outliers, leaving the researcher to decide whether or not to continue using the database (Rody et al.
Hierarchical cluster analysis combines the clusters gradually and reduces the number of clusters step by step until only one cluster is left.
The principal data included in the Cluster Analysis are; Labor Force Participation, Estimated earned income, Legislators, Senior officials and managers, Professional and technical workers, Literacy rate, Enrollment in primary education, Enrollment in secondary education, Enrollment in tertiary education, Healthy life expectancy, Women in parliament, Women in ministerial positions and Years with female head of state.
Genetic diversity of 113 desi chickpea genotypes was studied through descriptive principal component and cluster analysis.