Hierarchical Mixed Topological Maps
Abstract
We address the problem of clustering individuals described with several
mixed variables divided in homogeneous blocks. We propose a hierarchical
method with two levels to partition the individuals. The method is based on two
successive steps using mixed topological maps combined with agglomerative hierarchical
clustering. The proposed approach allows to take into account simultaneously
qualitative and quantitative variables as well as the variable blocking.
A real example on indoor air quality illustrates the proposed method.