Multi-dimensional
In Data Science, multi-dimensional refers to data that has more than one independent variable or feature. It is a dataset that has multiple dimensions or axes, where each axis represents a different feature or attribute. Multi-dimensional data can be visualized in higher dimensions using techniques such as scatter plots, heat maps, and parallel coordinates. Analyzing multi-dimensional data requires advanced statistical and machine learning techniques such as clustering, classification, and regression. Multi-dimensional data is commonly found in fields such as image processing, natural language processing, and sensor data analysis.
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