ABSTRACT
Techniques for the reduction of dimensionality are those that simplify the understanding of data, either visually or numerically, while causing only minimal reductions in the amount of information present. These techniques operate primarily by pooling or combining groups of variables into single variables, but may also entail the identification and elimination of low-information-content (or irrelevant) variables.
