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Titel: LIN Layout
The Multilevel Hypermap Architecture (MHA) belongs to self-organizing maps and is an extension of the Hypermap introduced by Kohonen.
Instead of two levels proposed in the Hypermap, the data and the context level, the MHA supports several levels of data relationship. The MHA is trained with the different levels of the input vector whose representation is a hierarchy of encapsulated subsets of units, the so called clusters and subclusters, which define different generalized stages of classification.
By means of MHA it is possible to analyze structured or hierarchical data, i.e.
One advantage of the MHA is the support for both, the classification of data and the projection of the structure in one unified map. The resulting hierarchy has some redundancy like in biological systems.