Adoption of K-means clustering algorithm in smart city security analysis and mythical experience analysis of urban image.

Objective: An information security evaluation model based on the K-Means Clustering (KMC) +  Decision Tree (DT) algorithm is constructed, aiming to assess its value in evaluating smart city (SC) security. Additionally, the impact of SCs on individuals' mythical experiences is investigated.

Methods: An information security analysis model based on the combination of KMC and DT algorithms is established.