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Applications of Cluster Analysis
- Data reduction
- Summarization: Preprocessing for regression, PCA, classification, and association analysis
- Compression: Image processing: vector quantization
- Hypothesis generation and testing
- Prediction based on groups
- Cluster & find characteristics/patterns for each group
- Finding K-nearest Neighbors
- Localizing search to one or a small number of clusters
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Outlier detection: Outliers are often viewed as those “far away” from any cluster
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