- principal component analysis; PCAmathematics
noun (common) (futsuumeishi)
Forms
Generated definitions (experimental)
- principal component analysis; PCA
This term refers to a statistical technique used to reduce the dimensionality of data while preserving as much variance as possible. It is often used in the fields of data analysis, statistics, and machine learning to simplify datasets by transforming them into a new set of variables, which are the principal components.
I used principal component analysis for dimensionality reduction of the data.
Generated collocations (experimental)
しゅせいぶんぶんせき主成分分析をするto perform principal component analysisしゅせいぶんぶんせき主成分分析のけっか結果results of principal component analysisしゅせいぶんぶんせき主成分分析のしゅほう手法method of principal component analysisしゅせいぶんぶんせき主成分分析をもちいる用いるto use principal component analysisた多へんりょう変量しゅせいぶんぶんせき主成分分析multivariate principal component analysisしゅせいぶんぶんせき主成分分析をかつよう活用するto utilize principal component analysisせんけい線形しゅせいぶんぶんせき主成分分析linear principal component analysisしゅせいぶんぶんせき主成分分析もでるモデルprincipal component analysis modelしゅせいぶんぶんせき主成分分析をかいしゃく解釈するto interpret principal component analysisしゅせいぶんぶんせき主成分分析のぜんていじょうけん前提条件prerequisites for principal component analysis
Lingaku