Pca Analysis, K Means, Traffic Data, Data Science, Machine Learning.
stations that are actually not similar. Thus, in the future, we would have to fine-tune hyper-parameters of K-Means, such as the number of clusters, and methods like silhouette score and elbow method would be helpful. Conclusion In summary, Applying PCA on traffic data to reduce dimensionality can