To reduce the number of variables,a large set of variables can often be replaced by the set of cluster components.

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Clustering is a technique of grouping variables based on their similarity or correlation. By using cluster components, multiple variables can be replaced by fewer variables that represent the underlying patterns in the data. This reduces the complexity of the model and makes it easier to interpret.

To Reduce the Number of Variables,a Large Set of Variables