Dendrograms-based disclosure method for evaluating cluster analysis in the IoT domain

The Internet of Things (IoT) generates huge amount data at an extremely fast pace. Thus, it is important to classify such objects into different groups or clusters in order gain some valuable insights from data. This paper aims develop a dendrograms-based method for 3D visualization hierarchical clustering multidimensional which can be collected IoT devices and open databases. built on algorithm simple efficient. It presents areas the selected their plane, according coordinates defined by dendrogram. defines rules dendrogram allows find nature clusters. also proposes quantitative indicators localization evaluation being formed. proposed evaluated using IoT-based dataset prepared two forms. significantly improves quality cluster analysis results. efficient as time complexity less factorial analysis.