Machine Learning, Principal Component, Artificial Intelligence, Unsupervised Learning, Pca Analysis.
component is a new axis that has been derived from the original two features and is oriented in the direction of the greatest variance in the data. What this means is that PC1 captures the most significant pattern across the two original features. For example, if PC1 explains 90% of the variance,