Advances in Self-Organizing Maps

Volume 5629 of the series Lecture Notes in Computer Science pp 344-352

The Exploration Machine – A Novel Method for Data Visualization

  • Axel WismüllerAffiliated withDepts. of Radiology and Biomedical Engineering, University of Rochester

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We present a novel method for structure-preserving dimensionality reduction. The Exploration Machine (Exploratory Observation Machine, XOM) computes graphical representations of high-dimensional observations by a strategy of self-organized model adaptation. Although simple and computationally efficient, XOM enjoys a surprising flexibility to simultaneously contribute to several different domains of advanced machine learning, scientific data analysis, and visualization, such as structure-preserving dimensionality reduction and data clustering.