Which of the following distance metrics is commonly used in hierarchical clustering?Cosine similarityEuclidean distanceJaccard indexHamming distance
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Solution 1
Hierarchical clustering commonly uses the Euclidean distance metric. This metric is based on the "straight line" distance between two points in a space, making it suitable for clustering in many contexts. However, it's important to note that the choice of distance metric in hierarchical clustering c Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob
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