Pca Analysis, K Means, Traffic Data, Data Science, Machine Learning.
output, W matrix W can be thought of as the weights on each features (i.e. hours) with regard to our “pictures”, or more specificly, principal components. pd.set_option('precision', 2) W = pca.components_ W_df = pd.DataFrame(W, columns=hour_mapper.keys(), index=[f'PC_{i}' for i in range(1,