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What is Hierarchical Clustering primarily about?
What is the main role of Hierarchical Clustering in machine learning?
Which type of Hierarchical Clustering starts with treating each data point as a separate group?
What is the purpose of a Dendrogram in Hierarchical Clustering?
Which distance metric is based on the Pythagorean theorem?
What is the Silhouette Coefficient used for in clustering?
What is a key advantage of Hierarchical Clustering over K-Means Clustering?
In which field can Hierarchical Clustering be used to group customers based on their characteristics?
What is the primary purpose of the Dendrogram method in clustering?
Which Hierarchical Clustering type starts with treating each data point as a separate cluster?
What does the Silhouette Coefficient measure in clustering?
Which field can use Hierarchical Clustering to categorize different species based on their characteristics?
What is a key advantage of Hierarchical Clustering in terms of cluster shapes and sizes?
In Hierarchical Clustering, which linkage method considers the longest distance between points in different clusters to form a cluster?
How does Hierarchical Clustering differ from other clustering methods like K-Means in terms of determining the number of clusters?
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