Application and Research on Foundation Monitoring using ISODATA Based Fuzzy Cluster Analysis Algorithm

Fuzzy clustering analysis is an effective mathematical classification method. ISODATA clustering analysis method is more scientific, which can eliminate human error. With the help of ISODATA clustering analysis, we can classify the monitoring points more accurate, scientific with the classification of the slope by the direct factor in affecting the stability of the foundation pit, which improves efficiency, and reduces workload.