From massive amounts of high-dimensional location data, algorithms that reduce the dimensionality of the data can be used to uncover trends, meaning, and relationships to eventually produce human-understandable representations.

Question

Quizplus · Accepted Answer

This statement is true. Dimensionality reduction algorithms can be used to simplify high-dimensional location data into more understandable representations.

From Massive Amounts of High-Dimensional Location Data, Algorithms That Reduce