Pca Analysis, K Means, Traffic Data, Data Science, Machine Learning.
main reasons: As the number of dimensions increases, all data points appear to be sparse and dissimilar in many ways, which would be refered to as “the curse of dimensionality”. Due to the high-dimensional nature of the traffic data, it is difficult to visualize and interpret. By applying PCA, we