There has been a major change in the rise of data creation and consumption due to the quick development of contemporary technology and the advent of the Internet of Things (IoT). With this shift comes a significant challenge in data management, with the goal of extracting useful information and patterns from the vast amount of unstructured IoT data. However, due to some limitations, we are still encountering issues and challenges in obtaining patterns and meaning information, and thus formulating a research agenda to get a sense of the challenges that one might encounter while conducting research on clustering of this massive chunk of unstructured IoT data. In light of these considerations, this study looks at some clustering methods that may be utilized when working with unstructured IoT data.