IJIRCST

1	Title of the Article	Classification and Statistical Analysis of Auditory FMRI Data Using Linear Discriminative Analysis and Quadratic Discriminative Analysis
2	Author's name	Pritesh G. Shah: Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India
3	Author's name	Bharti W. Gawali
4	Subject	Computer Science and Information Technology
5	Keyword(s)	Functional magnetic resonance imaging (fMRI), Linear Discriminative Analysis (LDA), Quadratic Discriminative Analysis (QDA), Statistical Parametric Mapping (SPM)
6	Abstract	Functional magnetic resonance imaging (fMRI) has the ability to not only get insight into how human brain functions but also to study the human brain of normal and diseased subjects. One of the methods to analyze the fMRI data is univariate approach, another approach is Multivariate discriminative approach. However for classification, there exists number of statistical techniques. In this paper, we perform classification of fMRI data using Fishers Linear Discriminative Analysis (LDA). The re-substitution error for the LDA calculated to be 0.1875. It is concluded that, the data are consistent with the multivariate normal distribution.
7	Publisher	Innovative Research Publication
8	Journal Name; vol., no.	International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-2 Issue-6
9	Publication Date	November 2014
10	Type	Peer-reviewed Article
11	Format	PDF
12	Uniform Resource Identifier	https://ijircst.org/view_abstract.php?title=Classification-and-Statistical-Analysis-of-Auditory-FMRI-Data-Using-Linear-Discriminative-Analysis-and-Quadratic-Discriminative-Analysis&year=2014&vol=2&primary=QVJULTEyMA==
13	Digital Object Identifier(DOI)
14	Language	English
15	Page No	56-61