Identifying the Indoor Space Characteristics of an Urban Railway Station Based on Pedestrian Trajectory Data

Figure 6

Results of the optimal cluster number and K-means clustering. (a) and (b) indicate optimal number of clusters using the silhouette method. (c) and (d) represent the clustering result with the optimal clustering number K=6. Each point represents the feature vectors for a spatial 1 m × 1 m cell in 1 h.

(a) Silhouette value by cluster number

(b) Silhouette value for optimal cluster (K=6)

(c) Distribution of similarity value

(d) K-means clustering (K=6)