1.0Glosarixhttps://glosarix.com/en/Team Glosarixhttps://glosarix.com/en/author/adm_glosarix/Principal component analysis (PCA) technique - Glosarixrich600338<blockquote class="wp-embedded-content" data-secret="5FmuFQAVlY"><a href="https://glosarix.com/en/glossary/principal-component-analysis-technique-en/">Principal component analysis (PCA) technique</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/principal-component-analysis-technique-en/embed/#?secret=5FmuFQAVlY" width="600" height="338" title="“Principal component analysis (PCA) technique” — Glosarix" data-secret="5FmuFQAVlY" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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Description: The principal component analysis (PCA) technique is a statistical procedure that transforms a set of observations of possibly correlated variables into a set of values of uncorrelated variables. This method is used to reduce the dimensionality of data, making it easier to analyze and visualize. By identifying the directions in which the data varies […]