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What are Characteristics of R Hierarchical Clustering?
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Answer / Avaneesh Kumar Sahu
In R Hierarchical Clustering: 1. Agglomerative (bottom-up) and Divisive (top-down) methods are used. 2. It builds a hierarchy of clusters by iteratively merging or splitting clusters based on their similarities. 3. It is sensitive to outliers as it treats all variables equally. 4. The result is a dendrogram, which can be cut at different levels to form various numbers of clusters.
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