Skip to main content
Have a personal or library account? Click to login
Hierarchical Clustering to Determine the Toxicity Levels of Factory Workers Cover

Hierarchical Clustering to Determine the Toxicity Levels of Factory Workers

By:   
Open Access
|Dec 2019

Abstract

Miners, explorers, energy station workers, artisans, factory workers, school pupils and even mere roadside pedestrians and hawkers are exposed to one harmful chemical element or the other. These may be solid, liquid or gaseous in their natural states. A prudent individual will obviously want to determine the pollutants he/she is often exposed to in the course of executing his/her routine daily activities and check, amongst other things, his/her degree of exposure, the resultant toxicity level and consequently determine ameliorative measures that will help reduce the pollution before it causes serious ailments. This work purports to provide a very cheap and simple procedure (i.e. before or after the placement of safety gargets) that can be used to monitor toxicity levels of individual factory workers with a view to determining those (i.e. the highest toxicity level cluster) workers that the company must provide additional intensive medical care for now or even retire before things get even worst (i.e. their toxicity levels become lethal). A data on Artisans or factory workers is used to demonstrate the functionality of the technique as well as its simplicity.
Language: English
Page range: 20 - 27
Published on: Dec 10, 2019
Published by: The Institute of Applied Statistics, Sri Lanka
In partnership with: Paradigm Publishing Services

© 2019 G. A. Dawodu, published by The Institute of Applied Statistics, Sri Lanka
This work is licensed under the Creative Commons License.