Directional Component Analysis (DCA) is a statistical method used for analyzing directional data, which consists of observations that are angles or directions. This type of data is common in fields such as meteorology, geology, biology, and any other domain where phenomena are influenced by direction. Unlike traditional statistical methods that assume data is distributed in a linear manner along a Cartesian plane, directional data requires specialized techniques due to the cyclical nature of angles (e.g.
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