Preliminaries
Dimension Reduction Techniques Main Intrusion of Dimension Techniques are to reduce the size & Improve the computation Speed
Dimension Reduction Techniques are of two types:
They are
PCA: Principal Components Analysis
SVD: Singular vector decomposition
Application of Dimension Reduction:
Computation Performance Enhanced
Image Compression
Face Recognition Principal Components Analysis:
Benefits:
By Using PCA We can reduce the number of Columns
We can identify the relation between columns
Visualize the multidimensional data in 2D
Less Number of Columns Will Capture maximum information
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