Cluster Variables Platform Overview
Principal components analysis constructs components that are linear combinations of all the variables in the analysis. In contrast, the Cluster Variables option constructs components that are linear combinations of variables in a cluster of similar variables. The entire set of variables is partitioned into clusters. For each cluster, a cluster component is constructed using the first principal component of the variables in that cluster. This cluster component is the linear combination that explains as much of the variation as possible among the variables in that cluster.
You can use the Cluster Variables option as a dimension-reduction method. A substantial part of the variation in a large set of variables ...
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