td-hierarchical-clustering

Automated hierarchical clustering on Teradata Vantage uses the TD_HierarchicalClustering function to group nested data. This process automates data preprocessing, SQL script generation, and model evaluation to identify patterns.

Hierarchical clustering builds nested groupings to create dendrograms and taxonomies from complex data. It identifies structural patterns, enabling use cases like segmenting customers based on purchasing behavior.

Running TD_HierarchicalClustering requires Teradata Vantage with ClearScape Analytics enabled and appropriate database permissions. These prerequisites ensure the SQL scripts execute successfully.

Automating SQL generation for customer segmentation in Teradata analyzes table structures and recommends feature engineering. It dynamically creates optimized SQL scripts for the TD_HierarchicalClustering function.

Building a taxonomy from Teradata data relies on hierarchical clustering to group nested structures systematically. This method organizes complex datasets into distinct categories through automated feature engineering.