The article introduces a method for organizing complex data in a way that preserves the original order. By using standard clustering techniques, the method creates a hierarchy that reflects the relationships between different data points. This approach is a mix of traditional clustering and fitting data into a specific mathematical structure called ultrametrics. The researchers found that this method can effectively group data in a way that maintains the original order, making it useful for analyzing directed acyclic graphs and other types of ordered data.