KMeans

4 of the Machine Learning Advent Calendar. Through the first three days, we explored distance-based models for supervised learning: In all these models, the thought was the identical: we measure distances, and we resolve the...

Boosting Your Method to SuccessImagine running a relay race. Each runner improves upon the previous one’s performance, and together, they win the race. That’s how these algorithms work — every latest model compensates for...

What's K-Means clustering?K-Means clustering is an unsupervised machine learning algorithm used for clustering or grouping similar data points together in a dataset. It's a partitioning algorithm, which divides the information into non-overlapping clusters, where...

This text explains a trading strategy that has demonstrated exceptional results over a 10-year period, outperforming the market by 53% by timing market’s returns using k-means clustering on historical macroeconomic sentiment data. The strategy...