A spectral clustering method to improve importance rating accuracy of customer requirements in QFD

Research article (The International Journal of Advanced Manufacturing Technology, 2020) · cited 24× · AI/ML
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A spectral clustering method to improve importance rating accuracy of customer requirements in QFD

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A spectral clustering method to improve importance rating accuracy of customer requirements in QFD is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A spectral clustering method to improve importance rating accuracy of customer requirements in QFD. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-spectral-clustering-method-to-improve-importance-rating-accuracy-of-customer-requirements-in-qfd
MLA “A spectral clustering method to improve importance rating accuracy of customer requirements in QFD.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-spectral-clustering-method-to-improve-importance-rating-accuracy-of-customer-requirements-in-qfd.
BibTeX @misc{4ortxyz_a-spectral-clustering-method-to-improve-importance-rating-accuracy-of-customer-requirements-in-qfd_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A spectral clustering method to improve importance rating accuracy of customer requirements in QFD}}, year = {2026}, url = {https://4ort.xyz/entity/a-spectral-clustering-method-to-improve-importance-rating-accuracy-of-customer-requirements-in-qfd}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A spectral clustering method to improve importance rating accuracy of customer requirements in QFD — https://4ort.xyz/entity/a-spectral-clustering-method-to-improve-importance-rating-accuracy-of-customer-requirements-in-qfd (retrieved 2026-05-24)

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