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Machine-learned cluster identification in high-dimensional data

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Graphical abstract 3-D representation of high dimensional data following ESOM projection and visualization of group (cluster) structures using the U-matrix, which employs a geographical map analogy of valleys where members… Click to show full abstract

Graphical abstract 3-D representation of high dimensional data following ESOM projection and visualization of group (cluster) structures using the U-matrix, which employs a geographical map analogy of valleys where members of the same cluster are located, separated by mountain ranges marking cluster borders.

Keywords: high dimensional; learned cluster; machine learned; dimensional data; cluster identification; cluster

Journal Title: Journal of Biomedical Informatics
Year Published: 2017

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