A Survey on Data Stream Clustering Techniques

In parallel with the development of today's technology, the amount of data that has been transferred to the computer environment has reached incredible dimensions and is increasing day by day. For this reason, the methods of data processing are also changing. In classical data clustering approaches, data is static. However, in today's technology in which data streams very fast, there is a need for applications that can cluster data and show results while the data is streaming whenever the user wants. In this sense, the demand for data stream clustering approaches is increasing day by day. Because, the data stream clustering approaches read once, fast, and have the ability to adapt themselves to new data. In other words, the results are shown to the user on the one hand, while the data is streaming on the other hand. In this study, the proposed studies on the data stream clustering area are collected and the researchers who are interested in this field are enlighten