Asa H consists of a hierarchical memory assembled out of clustering modules and feature detectors. In typical Asa H light implementations (see my blogs of 10 Feb 2011 and 14 May 2012) clustering is performed on vectors having both input and output components. One can add some discrimination by also clustering based on inputs alone and outputs alone. Usually there are far more inputs than outputs however.
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