Comparison of performance between back propagation and k-means on medical datasets

Author

Husayn, Isra Abd Allah

Source

Journal of Babylon University : Journal of Applied and Pure Sciences

Issue

Vol. 26, Issue 3 (31 Mar. 2018), pp.6-9, 4 p.

Publisher

University of Babylon

Publication Date

2018-03-31

Country of Publication

Iraq

No. of Pages

4

Main Subjects

Information Technology and Computer Science

Abstract EN

In recent decades, and to this day computer technology has been used in applications and various fields including the medical field, which prompted many researchers to employ this technique in the design of decision support systems using many of the algorithms and methods for this purpose.

In this paper, k-means and back propagation are proposed to classify medical datasets and then compare the performance of these methods, practical experiments show back propagation has best results than k-means.

American Psychological Association (APA)

Husayn, Isra Abd Allah. 2018. Comparison of performance between back propagation and k-means on medical datasets. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 26, no. 3, pp.6-9.
https://search.emarefa.net/detail/BIM-1093625

Modern Language Association (MLA)

Husayn, Isra Abd Allah. Comparison of performance between back propagation and k-means on medical datasets. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 26, no. 3 (2018), pp.6-9.
https://search.emarefa.net/detail/BIM-1093625

American Medical Association (AMA)

Husayn, Isra Abd Allah. Comparison of performance between back propagation and k-means on medical datasets. Journal of Babylon University : Journal of Applied and Pure Sciences. 2018. Vol. 26, no. 3, pp.6-9.
https://search.emarefa.net/detail/BIM-1093625

Data Type

Journal Articles

Language

English

Notes

Record ID

BIM-1093625