pattern recognition

Preferred Label : pattern recognition;

IUPAC acronym : PCA; ANN; PLS; SIMCA;

IUPAC definition : Pattern recognition is the identification of patterns in large data sets, using appropriate mathematical methodology. Examples are principal component analysis ( i PCA /i ), i SIMCA /i , partial least squares ( i PLS /i ) and artificial neural networks ( i ANN /i ).;

Details

Origin ID

PT06976;

UMLS CUI

C1518918;

Automatic exact mappings (from CISMeF team)
- Intravenous Patient-Controlled Analgesia [NCIt concept]
- Parachloroamphetamine [NCIt concept]
- Pattern recognition [PASCAL theme]
- Pidolic Acid [NCIt concept]
- Posterior Cerebral Artery [NCIt concept]
- Principal Component Analysis [NCIt concept]
- primary cutaneous amyloidosis [DO Concept]
Currated CISMeF NLP mapping
- Pattern Recognition [NCIt concept]
See also
- artificial neural networks [IUPAC Term]
- multivariate statistics [IUPAC Term]
- quantitative structure–activity relationship [IUPAC Term]
- structure-property correlations [IUPAC Term]
Semantic type(s)
- Mental Process [UMLS semantic type]
UMLS correspondences (same concept)
- Pattern Recognition [NCIt concept]

Keyword's position in hierarchy(ies) :

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