This document discusses optimization techniques for clustering algorithms. It introduces fuzzy bee colony optimization (FBCO) and compares its performance to other swarm algorithms like fuzzy c-means (FCM) and fuzzy particle swarm optimization (FPSO). FBCO is motivated by the natural behaviors of bee colonies and aims to avoid local minima problems. The document provides background on clustering, describes the FCM and FPSO algorithms, and proposes a FBCO algorithm to improve clustering performance.