# Teradata Silhouette Analysis

> Silhouette coefficient for clustering quality evaluation

- Skill: `teradata-labs/teradata-silhouette-analysis` (Agent Skill, multi-file: 11 files)
- Install (CLI): `npx skillmds@latest add teradata-labs/teradata-silhouette-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/teradata-labs/teradata-silhouette-analysis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: teradata-labs (https://skillmd.com/u/teradata-labs)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/teradata-labs/teradata-silhouette-analysis

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# Teradata Silhouette Analysis

| Property | Value |
|----------|-------|
| **Skill Name** | Teradata Silhouette Analysis |
| **Description** | Silhouette coefficient for clustering quality evaluation |
| **Category** | Model Evaluation |
| **Primary Function** | TD_Silhouette |
| **Framework** | SQLE |

## Core Capabilities

- Automated table structure analysis via DBC.ColumnsV
- Dynamic SQL generation for TD_Silhouette
- Complete workflow from data preparation to results interpretation
- Data quality validation and preprocessing guidance
- Parameter optimization and tuning

## Key Parameters

- **TargetColumns**: Feature columns used for clustering
- **ClusterIDColumn**: Column containing cluster assignments
- **IDColumn**: Unique row identifier

## Use Cases

1. Clustering quality assessment
2. Optimal K selection for K-Means
3. Cluster separation measurement
4. Comparing clustering algorithms

## Example Usage

```sql
-- TD_Silhouette execution
SELECT * FROM TD_Silhouette (
    ON {USER_DATABASE}.{CLUSTERED_TABLE} AS InputTable
    USING
    TargetColumns ('{FEATURE_COLUMNS}')
    ClusterIDColumn ('{CLUSTER_ID_COLUMN}')
    IDColumn ('{ID_COLUMN}')
) AS dt;
```

## Scripts Included

### Core Analytics Scripts
- **`table_analysis.sql`**: Automatic table structure discovery
- **`preprocessing.sql`**: Data preparation and feature engineering
- **`model_training.sql`**: TD_Silhouette execution
- **`evaluation.sql`**: Results analysis and metrics
- **`complete_workflow_template.sql`**: End-to-end workflow

### Utility Scripts
- **`data_quality_checks.sql`**: Comprehensive data validation
- **`parameter_tuning.sql`**: Parameter optimization
- **`diagnostic_queries.sql`**: Results diagnostics and interpretation

## Best Practices

- Always run table_analysis.sql first to understand your data structure
- Validate data quality before executing the analytical function
- Use parameter_tuning.sql to find optimal configuration
- Review diagnostic_queries.sql output for model/results validation

## Limitations

- Requires Teradata Vantage 17.20+ with ClearScape Analytics
- Input data must meet function-specific requirements
- Results depend on data quality and parameter configuration

*Teradata Silhouette Analysis - ClearScape Analytics skill for Teradata Vantage*