Year: 2024
Type: article
Abstract: This work uses cluster analysis to analyze similarities in the prices of regular gasoline and ethanol in Campina Grande-PB, Brazil. This multivariate statistical technique groups similar elements into distinct clusters using the non-hierarchical method (k-means). The analysis reports three clusters: cluster 1 has the lowest prices, while cluster 3 has the highest. We report descriptive statistics and a discussion based on the empirical local context.
Source: Socioeconomic Analytics
Authors: Richard Silva, Thaisa Azevedo, Hiago Martins, Lucas Cardoso Pereira
Institution: Universidade Estadual da Paraíba
Language: English
Field: Energy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405847737