Dimensionality Reduction: Revision history

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17 December 2023

  • curprev 00:4800:48, 17 December 2023‎ Ai talk contribs‎ 4,617 bytes +4,617‎ 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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