The dimensionality reduction
Example: Dimensionality reduction simplifies data by reducing number of variables
Definition
"The dimensionality reduction" refers to a process in data analysis and machine learning that simplifies data by decreasing the number of variables or features while preserving essential information. It helps improve computational efficiency and visualization by transforming complex datasets into lower-dimensional forms.
Etymology
The phrase "the dimensionality reduction" combines "dimensionality," derived from the Latin 'dimensio' meaning measurement, with "reduction," from Latin 'reductio' meaning a leading back or lessening. This term emerged in data science to describe methods that reduce the number of dimensions or variables in datasets for easier analysis.
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"The dimensionality reduction" appears in the Vocaplus list "English - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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