Clustering analysis – A case study

Sena, Inês; Mendes, João; Fernandes, Florbela P.; Pacheco, Maria F.; Vaz, Clara B.; Pires, Abel A.C.; Maia, Jaime P.; Pereira, Ana I.

http://hdl.handle.net/10198/29181

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Authors

Sena, Inês

Mendes, João

Fernandes, Florbela P.

Abstract(s)

In retail sector there is a high number of work accidents causing economic losses, musculoskeletal injuries, among other prob-lems. To avoid future injuries and accidents, it is essential to develop intelligent systems to minimize the risk of accidents, providing a zero accidents culture in these sectors. This work concentrates efforts to highlight the importance of employees’ personal and professional characteristics in preventing accidents, as well as the need to study several stores with different characteristics. Thus, a questionnaire was developed and implemented in two different stores to collect responses. The collected data will be analyzed using the k-means algorithm using Matlab software.

Keywords

Safety climate Accident Health management

URI

http://hdl.handle.net/10198/29181

Citation

Sena, Inês; Mendes, João; Fernandes, Florbela P.; Pacheco, Maria F.; Vaz, Clara B.; Pires, Abel A.C.; Maia, Jaime P.; Pereira, Ana I. (2023). Clustering analysis - A case study. In International Conference on Numerical Analysis and Applied Mathematics (ICNAAM), 2021. ISSN 0094-243X. 2849:1, p. 1-4