A new agglomerative hierarchical clustering to model student activity in online learning

Agung Triayudi (Universitas Nasional)
Iskandar Fitri (Universitas Nasional)

TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 17, No 3: June 2019

In this paper, a new technique of agglomerative hierarchical clustering (AHC), which is known as SLG (single linkage dissimilarity increment distribution, global cumulative score standard), can work well in analyzing students' activity in online learning as evidenced by obtaining the highest score in testing the validity index of cophenetic correlation coefficient (CPCC) ie 0.9237, 0.9015, 0.9967, 0.8853, 0.9875 of the five datasets compared with conventional agglomerative hierarchical clustering methods.