An improved Canopy-FFCM clustering algorithm for ocean data analysis

With the further advancement of the research on marine environmental science, more and more attention has been paid to modern data monitoring technology. In order to obtain the current water quality information quickly, this paper combines the advantages of Canopy algorithm and FFCM algorithm, and proposes an improved Canopy-FFCM clustering algorithm. The algorithm firstly uses Canopy algorithm to quickly obtain the best clustering number, and then iterates through FFCM algorithm. Multiple simulations of the sample were performed by using the FCM algorithm, the FFCM algorithm, and the improved Canopy-FFCM algorithm, the experimental results show that compared with the traditional algorithm, the improved algorithm effectively reduces the time required for the analysis process and has good application value.