Dimension Reduction Techniques
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Dimension Reduction Techniques

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

Dimension Reduction TechniquesDimension Reduction Techniques

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