HJ-Biplot and Clustering Techniques for Analyzing Water Quality: A Case Study

Author:

Tualombo MayraORCID,Amaro IsidroORCID,Castillo ZenaidaORCID

Publisher

Springer Nature Switzerland

Reference14 articles.

1. United Nations: Water Conference (2023). https://sdgs.un.org/conferences/water2023

2. Nogales, E., Vela, J.: Caracterización bateriológica del agua del rio Guano. Riobamba-Ecuador (2019)

3. Tipán, D.: Estudio Hidráulico del Río Guano para la Determinación de la Conductancia Entre Río-Acuífero y ZONAS DE INUNDACIÓN. Riobamba-Ecuador (2018)

4. Cipriana, I., Molinero, J., Cabrera, M., Medina, E., Capparelli, M., et al.: Occurrence of emerging contaminants in surface water bodies of a coastal province in Ecuador and possible influence of tourism decline caused by COVID-19 lockdown. Sci. Tot. Environ. 866, 161340 (2023). https://doi.org/10.1016/j.scitotenv.2022.161340

5. Frutos Bernal, E., Galindo Villardón, P.: Analysis of Madrid metro network: from structural to HJ-biplot perspective. Appl. Sci. 10(16), 5689 (2020). https://doi.org/10.3390/app10165689

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