A Semantic Partition Algorithm Based on Improved K-Means Clustering for Large-Scale Indoor Areas
Reasonable semantic partition of indoor areas can improve space utilization, optimize property management, and enhance safety and convenience.Existing algorithms for such partitions have drawbacks, such as the inability to consider semantics, slow convergence, and sensitivity to outliers.These limitations make it difficult to have partition schemes