Self-organizing mappings on the Grassmannian with applications to data analysis in high dimensions
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DOI: 10.1007/s00521-019-04444-x
Abstract: We propose a method for extending Kohonen’s self-organizing mapping to the geometric framework of the Grassmannian. The resulting algorithm serves as a prototype of the extension of the SOM to the setting of abstract manifolds.… read more here.
Keywords: data analysis; organizing mappings; applications data; self organizing ... See more keywords