Research on Clustering of Subway Construction Safety Accidents Based on LDA Model
The Hidden Dirichlet Distribution(LDA)is widely used in fields such as text data mining,image pro-cessing,and bioinformatics processing,but its application in subway engineering is relatively limited.A clustering al-gorithm based on LDA topic model is proposed to address the problem of low accuracy and efficiency in classifying safety accidents in subway construction,PYTHON 3.6 programming is used to realize the visualization model optimi-zation and cluster analysis of safety accident case data preprocessing modeling,and the classification dictionary for subway construction safety accidents is integrated to realize the accurate classification of engineering safety accidents The accuracy of subway construction safety accident classification can be effectively improved by obtaining the hidden topics oriented by the requirements of function performance and interface.
万方数据
维普
