Home › Entities › academia › Improved classification of fused data: Synergetic effect of partial least squares discriminant analysis (PLS-DA) and common components and specific weights analysis (CCSWA) combination as applied to tomato profiles (NMR, IR and IRMS)

Improved classification of fused data: Synergetic effect of partial least squares discriminant analysis (PLS-DA) and common components and specific weights analysis (CCSWA) combination as applied to tomato profiles (NMR, IR and IRMS)

Research article (Chemometrics and Intelligent Laboratory Systems, 2016) · cited 32× · AI/ML
academia openalex:W2394123518
Press Enter · cited answer in seconds

Improved classification of fused data: Synergetic effect of partial least squares discriminant analysis (PLS-DA) and common components and specific weights analysis (CCSWA) combination as applied to tomato profiles (NMR, IR and IRMS)

Summary

Improved classification of fused data: Synergetic effect of partial least squares discriminant analysis (PLS-DA) and common components and specific weights analysis (CCSWA) combination as applied to tomato profiles (NMR, IR and IRMS) is a scholarly article[1].

Key Facts

  • Improved classification of fused data: Synergetic effect of partial least squares discriminant analysis (PLS-DA) and common components and specific weights analysis (CCSWA) combination as applied to tomato profiles (NMR, IR and IRMS)'s instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Improved classification of fused data: Synergetic effect of partial least squares discriminant analysis (PLS-DA) and common components and specific weights analysis (CCSWA) combination as applied to tomato profiles (NMR, IR and IRMS). Retrieved May 24, 2026, from https://4ort.xyz/entity/improved-classification-of-fused-data-synergetic-effect-of-partial-least-squares-discriminant-analysis-pls-da-and-common
MLA “Improved classification of fused data: Synergetic effect of partial least squares discriminant analysis (PLS-DA) and common components and specific weights analysis (CCSWA) combination as applied to tomato profiles (NMR, IR and IRMS).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improved-classification-of-fused-data-synergetic-effect-of-partial-least-squares-discriminant-analysis-pls-da-and-common.
BibTeX @misc{4ortxyz_improved-classification-of-fused-data-synergetic-effect-of-partial-least-squares-discriminant-analysis-pls-da-and-common_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improved classification of fused data: Synergetic effect of partial least squares discriminant analysis (PLS-DA) and common components and specific weights analysis (CCSWA) combination as applied to tomato profiles (NMR, IR and IRMS)}}, year = {2026}, url = {https://4ort.xyz/entity/improved-classification-of-fused-data-synergetic-effect-of-partial-least-squares-discriminant-analysis-pls-da-and-common}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improved classification of fused data: Synergetic effect of partial least squares discriminant analysis (PLS-DA) and common components and specific weights analysis (CCSWA) combination as applied to tomato profiles (NMR, IR and IRMS) — https://4ort.xyz/entity/improved-classification-of-fused-data-synergetic-effect-of-partial-least-squares-discriminant-analysis-pls-da-and-common (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/improved-classification-of-fused-data-synergetic-effect-of-partial-least-squares-discriminant-analysis-pls-da-and-common · Last refreshed: