Abstract
For assessing the structural features of organoclay C15A dispersions in PP/PP-g-MA melts under different processing conditions along the screws of Twin Screw Extruder, in this work four different clustering algorithms are considered. The best algorithm and number of clusters is selected using three internal validation measures: connectedness, Dunn’s index and silhouette width. The results show that hierarchical clustering is the algorithm that yield better results and two is the best number of clusters. Two clusters are well identified L/D = 9.5 and 32.
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Notes
- 1.
With Euclidean distance and Ward method.
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De Almeida, F., Costa e Silva, E., Correia, A. (2020). Clustering of PP Nanocomposites Flow Curves Under Different Extrusion Conditions. In: Madureira, A., Abraham, A., Gandhi, N., Varela, M. (eds) Hybrid Intelligent Systems. HIS 2018. Advances in Intelligent Systems and Computing, vol 923. Springer, Cham. https://doi.org/10.1007/978-3-030-14347-3_53
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