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We introduce relational variants of neural topographic maps including the selforganizing map and neural gas, which allow clustering and visualization of data given in terms of a pairwise similarity or dissimilarity matrix. It is assumed that this matrix originates from an euclidean distance or dot product, respectively, however, the underlying embedding of points is unknown. One can equivalentl...
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ژورنال
عنوان ژورنال: Science
سال: 1893
ISSN: 0036-8075,1095-9203
DOI: 10.1126/science.ns-21.524.93