In pattern recognition a feature space is an abstract space where each pattern sample is represented as a point in n-dimensional space whose dimension is determined by the number of features used to describe the patterns.
A feature space is an abstract space where each pattern sample is represented as a point in n-dimensional space. This was in pattern recognition. Dimensional space's dimension is determined by the number of features. These features are used to describe the patterns.