Clustering algorithm flow chart

This flowchart illustrates the process of a clustering algorithm, detailing each step from initializing data points to determining final cluster centers. It begins with setting an initial central point and capacity, followed by updating the center based on sample point membership functions. The flowchart guides through checking if all points have been traversed and whether the center point has stabilized. It also involves calculating mean values of data points and adjusting the center point radius. The process concludes with a visual representation of clustering effects through scatter plots, ensuring effective encapsulation and analysis of data clusters.