1. the quality or state of having dimensions; the number of independent coordinates or parameters needed to specify a point or object in space or a system.
Usage: commonly used in mathematics, physics, and computer science
2. in data science and machine learning, the number of features or variables in a dataset.
Usage: technical usage

Examples

• The dimensionality of a line is one, while a plane has dimensionality of two.
• Three-dimensional space has a dimensionality of three.
• Reducing the dimensionality of the dataset improved the model's performance.
• The dimensionality of the problem increased as more variables were added.
• In mathematics, we study objects of various dimensionality, from points to curves to surfaces.
• High dimensionality can make it difficult to visualize and analyze data effectively.