A new approach to semi-supervised fuzzy graph-cut clustering
Traditional feature-based clustering algorithms often fail to capture the geometric structure of data effectively. To address this limitation, this paper proposes a semi-supervised fuzzy graph cut clustering algorithm (SS-FGCC), which integrates anchor-point labels into fuzzy clustering and exploits graph structures to...