The DOI matches its Crossref record.
Principal component analysis
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Discovering phase transitions with unsupervised learning
Wang, L. (2016) · Physical Review B · doi:10.1103/physrevb.94.195105 · Cited by 618
PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach
Qu, L., Hu, J., Li, L., & Zhang, Y. (2009) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2009.2026312 · Cited by 441
Accounting for Poisson noise in the multivariate analysis of ToF‐SIMS spectrum images
Keenan, M. R., & Kotula, P. G. (2004) · Surface and Interface Analysis · doi:10.1002/sia.1657 · Cited by 304
Clustering daily patterns of human activities in the city
Jiang, S., Ferreira, J., & González, M. C. (2012) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-012-0264-z · Cited by 282
Machine Learning Based Trust Computational Model for IoT Services
Jayasinghe, U., Lee, G. M., Um, T.-W., & Shi, Q. (2019) · IEEE Transactions on Sustainable Computing · doi:10.1109/tsusc.2018.2839623 · Cited by 256
Metadata
- Venue
- Statistics in Musicology
- Publisher
- Chapman and Hall/CRC
- Published
- 2003-07-15
- OpenAlex
- W3033414884
- Cited by
- 577
- References
- 0
- FWCI
- 41.17
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Principal component analysis. https://app.cochat.ai/papers/10.1201/9780203496947.ch8
- The paper
- Principal component analysis. (2003). Statistics in Musicology. https://doi.org/10.1201/9780203496947.ch8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
