Abstract
Projection methods are a common approach to dimensionality reduction with the aim of transforming high-dimensional data into a low-dimensional space. For data visualization purposes, projections into two dimensions are considered here. However, when the output space is limited to two dimensions, the low-dimensional similarities cannot completely represent the high-dimensional distances, which can result in a misleading interpretation of the underlying structures.
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Thrun, M.C. (2018). Visualizing the Output Space. In: Projection-Based Clustering through Self-Organization and Swarm Intelligence. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-20540-9_5
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DOI: https://doi.org/10.1007/978-3-658-20540-9_5
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Publisher Name: Springer Vieweg, Wiesbaden
Print ISBN: 978-3-658-20539-3
Online ISBN: 978-3-658-20540-9
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