APPLICATION OF SUPERVISED LEARNING
UNSUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Optimum number of clusters in agglomerative HC is found out using
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Dendrogram
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Elbow Method
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Random State
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None of these
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Explanation:
Detailed explanation-1: -Dendrograms are a diagrammatic representation of the hierarchical relationship between the data-points. It illustrates the arrangement of the clusters produced by the corresponding analyses and is used to observe the output of hierarchical (agglomerative) clustering.
Detailed explanation-2: -using NbClust() Let’s try to find the optimal number of clusters using the function NbClust(). This function provides 30 indices for determining the number of clusters and proposes the best clustering scheme from different results. The details of the parameters of NbClust can be found in here.
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