中文说明：应用背景本代码是基于与人工蜂群的数据聚类算法。该代码提供了比K-均值算法更准确的结果。关键技术人工蜂群优化（ABCO）是自然的启发启发式优化方法，这是类似于在自然界寻找食物的方式的蜜蜂，以及优化算法搜索最佳的组合优化问题。 ；通过建模的分区问题作为一个一个优化问题，该聚类算法。
English Description：
Application backgroundThis code is a data clustering algorithm based on Artificial Bee Colony. this code provides more accurate results than k-means algorithm.Key Technology Artificial Bee Colony Optimization (ABCO) is a nature-inspired metaheuristic optimization method, which is similar to the way bees in nature look for food, and the way optimization algorithms search for an optimum in combinatorial optimization problems. By modeling the partitioning problem as an optimization problem, a ABCO-based clustering algorithm is presented.