Criminal Behavior Analysis Method Based on Data Mining Technology

摘要

Through data processing of massive population crime, K-means mining algorithm is applied to the public security system. When dealing with large amount of data, K-means algorithm clustering results are greatly influenced by the choice of initial clustering center. If the selection of initial clustering center is improper, the clustering results may be trapped in local optimal solution, and get better clustering effect. So, adaptive genetic algorithm is used to optimize K-means algorithm. The experiment results show that the proposed scheme can get the valuable information and ideal clustering effect.