FLICM: A Fuzzy Local Information C-Means Clustering Algorithm with Enhanced Robustness

FLICM represents a recent advancement in fuzzy clustering, building upon traditional FCM methods with superior robustness and performance. This algorithm integrates local spatial information with fuzzy clustering principles, featuring improved noise immunity and clustering accuracy through a novel fuzzy local similarity measure implemented in its objective function.