The GCHART Procedure 2025

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The CATMOD procedure provides maximum likelihood estimation for logistic regression, including the analysis of logits for dichotomous outcomes and the analysis of generalized logits for polychotomous outcomes.
The VARCLUS procedure divides a set of numeric variables into disjoint or hierarchical clusters. Associated with each cluster is a linear combination of the variables in the cluster.
Cluster formation is one of the early proposed methods for energy efficient operation in WSNs. It limits the scope of inter-clusters׳ interactions to cluster heads and avoids redundant exchange of messages among nodes, while reducing the size of the routing table stored at each individual node.
Overview: PRINQUAL Procedure Transforming the variables to maximize the total variance accounted for by a few linear combinations locates the observations in a space with a dimensionality that approximates the stated number of linear combinations as much as possible, given the transformation constraints.
The FASTCLUS procedure combines an effective method for finding initial clusters with a standard iterative algorithm for minimizing the sum of squared distances from the cluster means. The result is an efficient procedure for disjoint clustering of large data sets.

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