Cluster analysis


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Related to Cluster analysis: factor analysis, Discriminant analysis

Cluster analysis

A statistical technique that identifies clusters of stocks whose returns are highly correlated within each cluster and relatively uncorrelated across clusters. Cluster analysis has identified groupings such as growth, cyclical, stable, and energy stocks.
References in periodicals archive ?
This paper proposes a framework which uses ontology based cluster analysis and association rule mining for mining interesting knowledge from the datasets of survey of schools of India.
The peak frequency obtained from the FFT analysis was used to generate the clusters, and two-Step cluster analysis determined there were three clusters that could be differentiated, as shown in Figure 5.
Tenifolia variety based on the first and second constituents, there existed a good correspondence between cluster analysis and decomposition to main constituents.
Whole-genome cluster analysis identified 9 additional isolates as part of this outbreak cluster (Table; Figure 1).
53'N latitude Table 4 Species clusters produced by hierarchical cluster analysis and based on data that were stratified into 1[degrees] latitudinal intervals.
During the cluster analysis of spatial data, if the interaction between the data is negligible, the accuracy of the clustering results will have a very big impact.
Cluster analysis (CA) is an exploratory data analysis tool for organizing observed data (e.
When region-wide organisation of airspace is conducted, the optimal number of clusters in the target space is not known; it is therefore appropriate to use hierarchical cluster analysis methods.
Cluster analysis has shown direct impact of rainfall on paddy when compared to that of groundnut and cotton.
According to consistency testing, the proposed classification criteria reflected the results of the cluster analysis well.
The methodology of applying cluster analysis and various validation parameters and their use as a measure of optimum clustering has been demonstrated.
With sparse datasets of large dimensions, performing a cluster analysis and obtaining meaningful and interpretable results may not be feasible.