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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
  • Outlier detection: Outliers are often viewed as those “far away” from any cluster

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