A Cluster Dendrogram is a tree-like diagram that illustrates the arrangement and structure of clusters in a dataset formed through hierarchical clustering. It represents individual data points or objects as leaves and shows how these points are grouped into clusters, with branches indicating the levels of similarity at which clusters merge. The height of the branches reflects the dissimilarity between clusters, providing a visual means to assess the distance or dissimilarity between data points. Cluster Dendrograms are useful for identifying natural groupings in data, making them valuable in various fields such as biology, marketing, and social sciences. By analyzing a Cluster Dendrogram, one can determine the optimal number of clusters and gain insights into the underlying structure of the dataset.
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