Semantic neighborhood-aware fuzzy clustering for balanced text categorization.
Text categorization remains a challenging task due to the inherent ambiguity of natural language, class overlap, and imbalanced topic distributions. Traditional Fuzzy C-Means (FCM) clustering, although widely used for soft text classification, is highly sensitive to initialization and tends to favor dense or majority c...