Which of the following analysis representing data using orthogonal vectors so that voluminous data can be projected on a smaller space?

Options
- Dimension Reduction Analysis
- Principle Component Analysis
- Singular Value Composition
- None of the Above

CORRECT ANSWER : Principle Component Analysis

Discussion Board
Principle Component Analysis

The principle component analysis (PCA) aims at representing data using orthogonal vectors so that the original voluminous data can be projected on a smaller space. It differs from attribute selection strategies in that it creates a new and alternative set of variables (attributes) that capture the meaning of database. PCA allows normalization to avoid domination in the process of data compression.

Prajakta Pandit 03-22-2017 05:41 AM

Write your comments


Enter the code shown above:

(Note: If you cannot read the numbers in the above image, reload the page to generate a new one.)


Related Content

Advertisement
 
▲