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Dimension Reduction


Principle component # is smaller than data point in dimension higher than data size
Advantage of kernel PCA over standard PCA
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Kernal PCA with linear kernel same as standard PCA

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  • Home
  • Python
    • Pandas
    • Matplotlib
    • Interactive Visualization
    • Folium
  • Spark
    • DataFrame
  • Machine Learning
    • Classification >
      • Logistic Regression
    • Dimension Reduction
    • Model Explaination
  • Blog
  • About