Machine Learning, Clustering, Unsupervised Learning, Towards Data Science, Travel.
for each vacation day. But the sights in the center of Paris are so close to each other, it is quite difficult to distinguish one cluster from the other. The resulting predictions were also sorted and stored in a dataframe. k-means was used to generate 10 clusters (one for each day), the black dots