principal component analysis
conversion of a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components
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principal component analysis
Summary
principal component analysis is a statistical method[1]. It ranks in the top 3% of statistical_method entities by monthly Wikipedia readership (1,240 views/month).[2]
Key Facts
- principal component analysis's instance of is recorded as statistical method[3].
- principal component analysis is a type of multivariate statistics[4].
- principal component analysis is used for dimensionality reduction[5].
- principal component analysis's Commons category is recorded as Principal component analysis[6].
- principal component analysis's facet of is recorded as unsupervised learning[7].
- principal component analysis's short name is recorded as ACP[8].
- principal component analysis's short name is recorded as PCA[9].
- principal component analysis's different from is recorded as LFMM[10].
- principal component analysis's on focus list of Wikimedia project is recorded as Wikipedia:Vital articles/Level/4[11].
- principal component analysis's maintained by WikiProject is recorded as WikiProject Mathematics[12].
- principal component analysis's P14541 is recorded as 3FSzeu[13].
- principal component analysis's P14541 is recorded as lnWz[14].
- principal component analysis's P14541 is recorded as b1Hs8[15].
Body
Definition and Type
principal component analysis's instance of is recorded as statistical method[3]. It is a type of multivariate statistics[4].
Use and Application
principal component analysis is used for dimensionality reduction[5].
Why It Matters
principal component analysis ranks in the top 3% of statistical_method entities by monthly Wikipedia readership (1,240 views/month).[2] It has Wikipedia articles in 23 language editions, a strong signal of global cultural recognition.[16] It is known by 36 alternative names across languages and contexts.[17]