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Multiclass Classification of fMRI using Linear Collaborative Discriminant Regression Classifier

K. O. Gupta1 , P. N. Chatur2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-11 , Page no. 350-353, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i11.350353

Online published on Nov 30, 2018

Copyright © K. O. Gupta, P. N. Chatur . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: K. O. Gupta, P. N. Chatur, “Multiclass Classification of fMRI using Linear Collaborative Discriminant Regression Classifier,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.11, pp.350-353, 2018.

MLA Style Citation: K. O. Gupta, P. N. Chatur "Multiclass Classification of fMRI using Linear Collaborative Discriminant Regression Classifier." International Journal of Computer Sciences and Engineering 6.11 (2018): 350-353.

APA Style Citation: K. O. Gupta, P. N. Chatur, (2018). Multiclass Classification of fMRI using Linear Collaborative Discriminant Regression Classifier. International Journal of Computer Sciences and Engineering, 6(11), 350-353.

BibTex Style Citation:
@article{Gupta_2018,
author = {K. O. Gupta, P. N. Chatur},
title = {Multiclass Classification of fMRI using Linear Collaborative Discriminant Regression Classifier},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {6},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {350-353},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3167},
doi = {https://doi.org/10.26438/ijcse/v6i11.350353}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i11.350353}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3167
TI - Multiclass Classification of fMRI using Linear Collaborative Discriminant Regression Classifier
T2 - International Journal of Computer Sciences and Engineering
AU - K. O. Gupta, P. N. Chatur
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 350-353
IS - 11
VL - 6
SN - 2347-2693
ER -

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Abstract

In this paper, a hybrid GA-LCDRC model is proposed to address multiclass functional MRI classification problem. KNN based genetic algorithm is used as the feature selector and linear collaborative discriminant regression classifier (LCDRC) is used as the classifier. The effectiveness and usefulness of this model is assessed based on its classification specificity, sensitivity and accuracy. This approach is tested to Haxby’s 2001 functional MRI dataset with eight different classes. The result indicates that the proposed hybrid model can be used for multiclass cognitive state classification.

Key-Words / Index Term

fMRI, multiclass, linear collaborative discriminant regression classifier (LCDRC), genetic algorithm

References

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