PCA & K-Means for Traffic Data in Python

Reduce dimensionality and cluster Taipei MRT stations based on hourly traffic

Taipei Rail Map ( Actually Introduced Romanization Standards based ) Including THSR, TRA, Taipei MRT & Other Lines. Image by Taiwan J.

Principal Component Analysis (PCA) has been used in traffic data to detect anomalies, but it can also be used to capture the patterns of a transit station’s traffic history, just like what it does on the purchase data of a customer.

In this article, we will …

analysis cluster data data science dimensionality image k-means machine learning map pca pca-analysis python rail reduce standards taiwan traffic traffic-data