IMPLEMENTATION K-NEAREST NEIGHBOR AND LINEAR DISCRIMINANT ANALYSIS METHOD FOR CLASSIFICATION TYPE OF WORKS IN JAKARTA

Authors

  • Yunita Sartika Sari Faculty of Computer Science, Mercu Buana University, Indonesia.

Keywords:

K-Nearest Neighbor, Linear Discriminant Analysis, Classification

Abstract

In this study, explaining how to implement the classification of types of work in DKI Jakarta using the K-Nearest Neighbor and Linear Discriminant Analysis methods. Types of work are grouped by occupation. After testing the classification of work types, the results of testing accuracy are 50% for the Linear Discrimant Analysis Method and 32% for K-Nearest Neighbor.

References

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Additional Files

Published

28-02-2020

How to Cite

Yunita Sartika Sari. (2020). IMPLEMENTATION K-NEAREST NEIGHBOR AND LINEAR DISCRIMINANT ANALYSIS METHOD FOR CLASSIFICATION TYPE OF WORKS IN JAKARTA. International Educational Journal of Science and Engineering, 3(1). Retrieved from https://iejse.com/journals/index.php/iejse/article/view/42

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