Gaining from discretization of continuous data: The correspondence analysis biplot approach

Research article (Behavior Research Methods, 2018) · cited 26× · AI/ML
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Gaining from discretization of continuous data: The correspondence analysis biplot approach

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APA 4ort.xyz Knowledge Graph. (2026). Gaining from discretization of continuous data: The correspondence analysis biplot approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/gaining-from-discretization-of-continuous-data-the-correspondence-analysis-biplot-approach
MLA “Gaining from discretization of continuous data: The correspondence analysis biplot approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gaining-from-discretization-of-continuous-data-the-correspondence-analysis-biplot-approach.
BibTeX @misc{4ortxyz_gaining-from-discretization-of-continuous-data-the-correspondence-analysis-biplot-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Gaining from discretization of continuous data: The correspondence analysis biplot approach}}, year = {2026}, url = {https://4ort.xyz/entity/gaining-from-discretization-of-continuous-data-the-correspondence-analysis-biplot-approach}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Gaining from discretization of continuous data: The correspondence analysis biplot approach — https://4ort.xyz/entity/gaining-from-discretization-of-continuous-data-the-correspondence-analysis-biplot-approach (retrieved 2026-05-24)

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