Abstract
The proliferation of online platforms recently has led to unprecedented increase in data generation;this has given rise to the concept of big data which characterizes data in terms of volume, velocity, variety, andveracity. One of the common multivariate statistical data analysis tools is linear discriminant analysis (LDA) whichrelies on the concept of obtaining the separation among groups through LDA. The prediction of the class of a givenclass of data points can be achieved through classification, a supervised learning technique but prior to a classificationprocess, a classification model must first be built using classification algorithms. Several classification algorithms areavailable for prediction tasks. LDA is commonly used for the reduction of the dimensionality of datasets. In thisarticle, the use of LDA to improve the classification performance of different classification model was presented
Recommended Citation
Ali, Ahmed Hussein; Hussain, Zahraa Faiz; and Abd, Shamis N.
(2024)
"Big Data Classification Efficiency Based on Linear Discriminant Analysis,"
Iraqi Journal for Computer Science and Mathematics: Vol. 1:
Iss.
1, Article 2.
DOI: https://doi.org/10.52866/ijcsm.2019.01.01.001
Available at:
https://ijcsm.researchcommons.org/ijcsm/vol1/iss1/2
