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What is Jaccard Distance

accard distance is a measure of dissimilarity between two sets. It is calculated as the complement of the Jaccard similarity coefficient and is particularly useful when dealing with binary data or sets. The Jaccard similarity coefficient measures the proportion of shared elements between two sets, and the Jaccard distance is essentially the complement of this…

CEO 90 views

What are the common Distance Measures in Clustering

istance measures (or similarity measures, depending on the context) play a crucial role in clustering algorithms, as they determine the similarity or dissimilarity between data points. Here are some common distance measures used in clustering: The choice of distance measure depends on the nature of your data and the specific requirements of your clustering task.…