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