________ is a dimensionality reduction technique used in data mining to simplify complex, high-dimensional data.

  • Principal Component Analysis (PCA)
  • Random Forest
  • Support Vector Machine (SVM)
  • k-Nearest Neighbors (k-NN)
Principal Component Analysis (PCA) is a dimensionality reduction technique used in data mining to simplify complex, high-dimensional data. It identifies the most significant features and transforms the data into a lower-dimensional space while retaining essential information.
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