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Silhouette coefficient for clustering quality evaluation
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Basierend auf der SOC-Berufsklassifikation
Auto-correlation analysis for time series dependency and pattern detection
Analysis of variance for comparing group means
ARIMA-based time series forecasting for trend and seasonal predictions
ARIMA parameter estimation for seasonal and non-seasonal AR, MA, ARMA, and ARIMA models
Marketing attribution modeling and analysis
Automated ARIMA model selection and forecasting
| name | Teradata Silhouette Analysis |
| description | Silhouette coefficient for clustering quality evaluation |
| Property | Value |
|---|---|
| Skill Name | Teradata Silhouette Analysis |
| Description | Silhouette coefficient for clustering quality evaluation |
| Category | Model Evaluation |
| Primary Function | TD_Silhouette |
| Framework | SQLE |
-- 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;
table_analysis.sql: Automatic table structure discoverypreprocessing.sql: Data preparation and feature engineeringmodel_training.sql: TD_Silhouette executionevaluation.sql: Results analysis and metricscomplete_workflow_template.sql: End-to-end workflowdata_quality_checks.sql: Comprehensive data validationparameter_tuning.sql: Parameter optimizationdiagnostic_queries.sql: Results diagnostics and interpretationTeradata Silhouette Analysis - ClearScape Analytics skill for Teradata Vantage