2021
DOI: 10.1007/978-3-030-86982-3_8
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Quantifying the Conceptual Error in Dimensionality Reduction

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Cited by 4 publications
(1 citation statement)
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“…Despite that, efficient algorithms for real-world data that compute the scaling dimension and its specific versions, i.e., ordinal, interordinal, nominal, etc, may be developed. In addition to that, so far it is unknown if an approximation of the scaling dimension, e.g., with respect to some degree of conceptual scaling error [8] or bounds, is tractable. If computationally feasible, such an approximation could allow larger data sets to be handled.…”
Section: Discussion and Future Workmentioning
confidence: 99%
“…Despite that, efficient algorithms for real-world data that compute the scaling dimension and its specific versions, i.e., ordinal, interordinal, nominal, etc, may be developed. In addition to that, so far it is unknown if an approximation of the scaling dimension, e.g., with respect to some degree of conceptual scaling error [8] or bounds, is tractable. If computationally feasible, such an approximation could allow larger data sets to be handled.…”
Section: Discussion and Future Workmentioning
confidence: 99%