An indicator vector (or indicator variable) is a vector used in statistics and machine learning to represent categorical data in a binary format. It is commonly used in contexts such as regression analysis, classification problems, and other areas where categorical variables need to be included in mathematical models. In an indicator vector: - Each category of a variable is represented as a separate binary dimension (0 or 1).
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