Mapping plaques Cisterns by Fuzzy grouping analysis

Oliveira, Manoel Rivelino Gomes de; Cruz, David Venancio da; Filho, Moacyr Cunha

doi:10.1109/tla.2016.7786317

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2020

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“…One drawback of using clustering algorithms is to determine the best number of clusters to properly represent natural partitions. In this way, the validation of the clusters is necessary to ensure that the cluster structures obtained do not happen by chance (Oliveira et al, 2016). To overcome this deficiency several algorithms have been proposed, aiming at determining the optional number of clusters automatically as agglomerative methods of fusion (Frigui & Krishnapuram, 1996).…”

Section: Introductionmentioning

confidence: 99%

Non-hierarchical grouping: ‘K-mean’ and ‘K-medoid’ of plaques cisterns in the Pajeu region - PE

2020

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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.

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Section: Introductionmentioning

confidence: 99%