Name a popular dimensionality reduction algorithm.

4 years ago
Machine Learning

Popular dimensionality reduction algorithms are Principal Component Analysis and Factor Analysis.
Principal Component Analysis creates one or more index variables from a larger set of measured variables. Factor Analysis is a model of the measurement of a latent variable. This latent variable cannot be measured with a single variable and is seen through a relationship it causes in a set of y variables.

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Sanisha Maharjan
Sanisha Maharjan
Jan 11, 2022
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