principal component analysis
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Summary
principal component analysis is a statistical method[1]. It ranks in the top 3% of statistical method entities by monthly Wikipedia readership (10,426 views/month).[2]
Key Facts
- Subclass of: multivariate statistics[3]
- Has use: dimensionality reduction[4]
- Commons category: Principal component analysis[5]
- Facet of: unsupervised learning[6]
- Short name: ACP[7], PCA[8]
- Different from: LFMM[9]
- On focus list of Wikimedia project: Wikipedia:Vital articles/Level/4[10]
- Maintained by WikiProject: WikiProject Mathematics[11]
- P14541: 3FSzeu[12], lnWz[13], b1Hs8[14]
Why It Matters
principal component analysis has Wikipedia articles in 23 language editions, a strong signal of global cultural recognition.[15] It is known by 36 alternative names across languages and contexts.[16]