Data Science-Data Mining-Clustering
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Data Science-Data Mining-Clustering

Clustering Techniques

Clustering

Cluster Analysis("data segmentation") is an exploratory method for identifying homogenous groups ("clusters") of records

  • Similar records should belong to the same cluster
  • Dissimilar records should belong to different clusters
  • In Clustering there are two types of Clusters they are:
    • Hierarchical Clustering
    • Non-Hierarchical Clustering

Hierarchical Clustering Alogorithm:

  • Hierarchical methods-agglomeratives: Begin with n clusters; sequentially merge similar clusters until 1 cluster is left. Useful when goal is to arrange the clusters into a natural hierarchy. Requires specifying distance measure

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