Abstract
This work uses non-hierarchical grouping methods to evaluate the quality of the groups formed by plate cisterns according to some water quality variables. These methods use the cluster validation criterion to determine the optimal partition, which provides the most homogeneous groups possible. The methods were tested on a sample of 100 cisterns located in the Pajeú region. However, the non-hierarchical clustering method of ‘K-medoid’ formed more homogeneous groups, and thus the best performance according to the Silhouette [s (i) = 0.64] statistics.
Highlights
IntroductionTwo non-hierarchical grouping methods were used in this study in a sample of water from plate cisterns in the municipality of Serra Talhada in the Pajeu, Pernambucano Region (Oliveira, Cruz, & Cunha Filho, 2016)
The question heere is to verify if a cluster analysis that used water quality variables is able to classify cisterns of plaques according to these variables
Two non-hierarchical grouping methods were used in this study in a sample of water from plate cisterns in the municipality of Serra Talhada in the Pajeu, Pernambucano Region (Oliveira, Cruz, & Cunha Filho, 2016)
Summary
Two non-hierarchical grouping methods were used in this study in a sample of water from plate cisterns in the municipality of Serra Talhada in the Pajeu, Pernambucano Region (Oliveira, Cruz, & Cunha Filho, 2016). This region, like the other semi-arid regions of the world, recorded great periods of drought (Cherwin & Knapp, 2012), culminating in a lack of good quality water and water for human consumption (Cruz, Oliveira, Cruz, & Cunha Filho, 2016). This work focuses on the first question that is to obtain the proper groupings of plate tanks located in the Pajeú region
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