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Cluster analysis

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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.


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The team later applied statistical analysis to the data employing principal component analysis and cluster analysis to classify trunk characteristics into five different types.
of Science and Technology) begin their classroom text and reference by first explaining cluster analysis, then move on to describe proximity measures, hierarchical clustering, partition clustering, neural network-based clustering, kernel-based clustering, sequential data clustering, large-scale data clustering, data visualization and high-dimensional data clustering, and cluster validation.
The following volume includes coverage of the logit model (logistic regression), discriminant analysis, principal components and factor analysis, and cluster analysis.
 
 
 
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