1.0Glosarixhttps://glosarix.com/en/Team Glosarixhttps://glosarix.com/en/author/adm_glosarix/PCA (Principal Component Analysis) - Glosarixrich600338<blockquote class="wp-embedded-content" data-secret="HMLmFGQ6eH"><a href="https://glosarix.com/en/glossary/pca-principal-component-analysis-en/">PCA (Principal Component Analysis)</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/pca-principal-component-analysis-en/embed/#?secret=HMLmFGQ6eH" width="600" height="338" title="“PCA (Principal Component Analysis)” — Glosarix" data-secret="HMLmFGQ6eH" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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Description: Principal Component Analysis (PCA) is a statistical procedure that uses orthogonal transformation to convert a set of correlated variables into a new set of uncorrelated variables, known as principal components. This method is based on the decomposition of the covariance matrix of the original data, allowing the identification of directions in which the data […]