Factor Analysis Using Two Stages Neural Network Architecture
Sandeep Kumar, Deepak Kumar, Rashid Ali · International Journal of Machine Learning and Computing · 2012
Factor Analysis is the process of finding a suitable representation of the data in terms of lesser number of variables.There are a number of application areas where factor analysis is widely used e.g.signal processing, statistics, stock marketing, forecasting, approximation, compression, security, medical sciences etc.In this paper we will show that a very effective factor analysis scheme can be developed using a feed forward neural network.Our approach has the advantage of being able to analyze very large data sets while preserving the nature of the data.