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Foundations of Artificial Intelligence & Machine Learning

Licence
OPEN CC-BY-4.0
Authors
Nidhi Sharma, Honey Singh, Ajay Sharma, Deepak Dagar
Published
2026-07-28 · Zenodo
Language
eng
Length
37166 words
Type
narrative text
Open ↗ Download Open original ↗
Dimensionality Reduction

Modern datasets often contain enormous numbers of variables and features. Handling highly complex data may reduce computational efficiency. Dimensionality reduction techniques help simplify data while preserving important information. These methods improve visualization, processing speed, and model performance. This technique is commonly used in:

  • image processing
  • big data analytics
  • scientific research
  • pattern recognition systems