Intelligent flower arrangement art design based on K-medoids algorithm under digital background

Abstract

In the digital age, with the improvement of people’s living standards, people’s spiritual needs are increasing day by day. Flower arrangement art design can enrich people’s spiritual world, beautify the environment, and improve the quality of life. To achieve innovation in flower arrangement art design, a genetic algorithm was introduced to optimize the K-medoids algorithm, resulting in an improved GK algorithm, which was applied to the classification of raw material types in flower arrangement art. At the same time, selecting stem length, color, and straightness from a large number of features as the main features of flower materials to improve clustering effectiveness. Then, by improving the algorithm, we can deeply explore the creative inspiration of flower arrangement art and achieve intelligent flower arrangement art design. The research results show that the GK algorithm only needs 26 iterations to reach the objective function value, and its clustering accuracy rate is 97.16%. Based on the above content, it can be found that the intelligent flower arrangement art design based on the GK algorithm proposed in the study has excellent performance and accuracy, which effectively improves the level and efficiency of flower arrangement art design.