Clustering Analysis Based Modeling Method of Bridge State Anomaly Distribution

Abstract

Based on the measured data of bridges, this paper uses the clustering method of data-driven methods to analyze the abnormal state of bridges from the perspective of data. Two commonly used clustering algorithms are summarized here: Kmeans clustering algorithm and fuzzy C-means clustering algorithm. The theory and concrete operation steps of the respective methods are systematically discussed, and the advantages and disadvantages of the respective algorithms are compared.