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 (1,917 views/month).[2]
Key Facts
- principal component analysis's image is recorded as GaussianScatterPCA.svg[3].
- principal component analysis's instance of is recorded as statistical method[4].
- principal component analysis's GND ID is recorded as 4129174-8[5].
- principal component analysis's Library of Congress authority ID is recorded as sh85106729[6].
- principal component analysis's Bibliothèque nationale de France ID is recorded as 11942895w[7].
- principal component analysis's subclass of is recorded as multivariate statistics[8].
- principal component analysis's has use is recorded as dimensionality reduction[9].
- principal component analysis's Commons category is recorded as Principal component analysis[10].
- principal component analysis's MeSH descriptor ID is recorded as D025341[11].
- principal component analysis's BNCF Thesaurus ID is recorded as 52507[12].
- principal component analysis's Freebase ID is recorded as /m/07s82n4[13].
- principal component analysis's MeSH tree code is recorded as E05.318.740.562[14].
- principal component analysis's Art & Architecture Thesaurus ID is recorded as 300379555[15].
- principal component analysis's Dewey Decimal Classification is recorded as 519.5354[16].
- principal component analysis's facet of is recorded as unsupervised learning[17].
- principal component analysis's short name is recorded as {'lang': 'fr', 'text': 'ACP'}[18].
- principal component analysis's short name is recorded as {'lang': 'en', 'text': 'PCA'}[19].
- principal component analysis's different from is recorded as LFMM[20].
- principal component analysis's defining formula is recorded as {t_{k}}{(i)} = \mathbf{x}{(i)} \cdot \mathbf{w}_{(k)}[21].
- principal component analysis's UMLS CUI is recorded as C0429865[22].
- principal component analysis's Great Russian Encyclopedia Online ID is recorded as 2363146[23].
- principal component analysis's Quora topic ID is recorded as Principal-Component-Analysis[24].
- principal component analysis's Zhihu topic ID is recorded as 19806816[25].
- principal component analysis's JSTOR topic ID is recorded as principal-components-analysis[26].
- principal component analysis's STW Thesaurus for Economics ID is recorded as 29892-6[27].
Why It Matters
principal component analysis ranks in the top 3% of statistical_method entities by monthly Wikipedia readership (1,917 views/month).[2] It has Wikipedia articles in 23 language editions, a strong signal of global cultural recognition.[28] It is known by 12 alternative names across languages and contexts.[29]