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Canonica AI

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Dimensionality Reduction

17 December 2023

  • Ai

    Created page with "== Introduction == Dimensionality reduction is a crucial concept in the field of data science, machine learning, and statistics. It is a process that reduces the number of random variables under consideration by obtaining a set of principal variables. In simpler terms, it is a method of reducing the complexity of a high-dimensional dataset while retaining as much information as possible. == Overview == The primary g..."

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Retrieved from "https://canonica.ai/page/Special:History/Dimensionality_Reduction"