期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：12
页码：22558
DOI：10.15680/IJIRSET.2017.0612078
出版社：S&S Publications
摘要：Extracting features from input data is vital for successful classification task and machine learning tasks.Feature extraction, obviously, is a transformation of large input data into a low dimensional feature vector, which is aninput to classification or a machine learning algorithm. The task of feature extraction has major challenges discussed inthis paper. The quest for universal learning is one of the most significant, fascinating, and revolutionary intellectualdevelopments of all time. In present day scenarios the problems are very complex ,have high dimensional data and areheterogeneous .The challenge is to learn and extract knowledge from that data to make correct decisions. The objectiveof this paper is to give an overview of methods used in feature extraction for various applications, give an overview ofmodern challenges in feature extraction.
