SPSS: Apply & Evaluate Cluster Analysis Techniques
Completed by ROHITH RAMAKRISHNAPPA
October 10, 2025
4 hours (approximately)
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What you will learn
Explain clustering concepts and differentiate hierarchical, k-means, and Two-Step methods.
Apply preprocessing and clustering techniques in SPSS to segment real-world data.
Evaluate cluster quality using BIC/AIC criteria, dendrograms, and silhouette scores.
Skills you will gain
- Category: Data Mining
- Category: Statistical Methods
- Category: Data Analysis
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Statistical Software
- Category: Machine Learning Methods
- Category: Data Visualization
- Category: Model Evaluation
- Category: Statistical Machine Learning
- Category: Data Preprocessing
- Category: SPSS (Software)
