, The measure of distance between profiles. The distance chosen for our analysis is the squared Euclidean distance; c) The aggregation criterion used to agglomerate profiles in groups. The aggregation technique " according to the variance " (Ward's algorithm) appears most interesting by the compatibility of results with some factor analysis (which the Principal Component Analysis) The principle of the algorithm is to create at each step, a partition obtained by aggregating two by two the elements closest. The algorithm does not partition into q classes of a set of I individuals, but a hierarchy of partitions, is the form of trees and container I-1 partitions. The interest of these trees is that they can give an idea of how many classes actually exist in the population, with even less classes and classes less homogeneous than is cut above
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