What is the full form of PCA?

0 22 Views | Posted a year ago
Asked by Shrooti Jain

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    Shubhangi | Contributor-Level 7

    a year ago

    Principal Component Analysis (PCA) is a statistical technique commonly used in data analysis and machine learning. It is designed to simplify complex datasets by reducing the number of variables while preserving the essential information. PCA is an unsupervised learning method that transforms a high-dimensional dataset into a lower-dimensional space, making it easier to analyze and interpret.

    Exploring the Full Form of PCA

    The acronym PCA stands for ""Principal Component Analysis."" The term ""Principal Component"" refers to the linear combinations of the original variables in a dataset. These linear combinations are created in such a wa

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