td-hierarchical-clustering
OfficialGroup nested data with Hierarchical Clustering.
Data & Analytics#data analysis#customer segmentation#teradata#hierarchical clustering#td_hierarchicalclustering#taxonomy building
Authorteradata-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of performing hierarchical clustering on Teradata data, simplifying complex data grouping and pattern identification.
Core Features & Use Cases
- Automated Data Analysis: Analyzes table structure, identifies data types, and recommends feature engineering.
- SQL Workflow Generation: Dynamically creates optimized SQL scripts for the TD_HierarchicalClustering function.
- Use Case: Segmenting customers into distinct groups based on their purchasing behavior to tailor marketing strategies.
Quick Start
Analyze table: my_teradata_database.customer_data with target column: segment_id.
Dependency Matrix
Required Modules
None requiredComponents
scriptsresources
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: td-hierarchical-clustering Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-hierarchical-clustering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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