Time Series Clustering In Python With Scikit-Learn
Clustering is an unsupervised learning technique that can help you uncover hidden patterns in your time series data. Scikit-learn has a wide range of clustering algorithms, including K-means, DBSCAN, and Agglomerative Clustering. In this tutorial, we’ll explore how to use K-means with different transformations to cluster time series data. Using the right data transformations can help you get your desired results faster than just trying different clustering algorithms over the same data....