Multiple Correspondence Analysis

The purpose of multiple correspondence analysis, also known as homogeneity analysis, is to find quantifications that are optimal in the sense that the categories are separated from each other as much as possible. This implies that objects in the same category are plotted close to each other and objects in different categories are plotted as far apart as possible. The term homogeneity also refers to the fact that the analysis will be most successful when the variables are homogeneous; that is, when they partition the objects into clusters with the same or similar categories.

To know more, go to Professional Edition>Categories >Multiple Correspondence Analysis

Next