Multi-dimensions Clustering Approach for Physical Health Data Based on Aritificial Ant Colony Optimization

With the increasing amount of physical health data, it is urgent to develop an effective and efficient approach to clustering these data for further analysis. High dimension, variety of data format, scale and processing requirements challenge this clustering problem. In view of the efficiency of swarm intelligence in solving optimization of complicated problems, we propose a novel clustering approach for multidimensional physical health data based on artificial ant colony optimization.