he method / metric which is NOT useful to determine the optimal number of clusters in unsupervised clustering algorithms is Scatter plot Elbow method Dendrogram None of the above
Question
he method / metric which is NOT useful to determine the optimal number of clusters in unsupervised clustering algorithms is Scatter plot Elbow method Dendrogram None of the above
Solution
The answer is Scatter plot. While scatter plots can be useful in visualizing the distribution of data, they do not provide a quantitative measure to determine the optimal number of clusters in unsupervised clustering algorithms. On the other hand, the Elbow method and Dendrograms are both techniques specifically designed to help determine the optimal number of clusters.
Similar Questions
The method / metric which is NOT useful to determine the optimal number of clusters in unsupervised clustering algorithms isReview LaterDendogramElbow methodScree plotNone of the above.
Which method is commonly used to select the right number of clusters? 1 pointThe elbow method. The ROC curve. The perfect Square MethodThe Sum of Square Method
How is the optimal number of clusters determined in hierarchical clustering?*1 pointBy minimizing the between-cluster sum of squaresBy maximizing the within-cluster sum of squaresBy examining the dendrogram and selecting an appropriate cut-off pointBy using the elbow method on the resulting tree structure
Which of the following optimized techniques are used in K-Means Clustering Algorithm*1 pointK-Means ++Elbow plotBoth K-Means++ and Elbow plotNone of these
In k means clustering dendrogram is developedSelect one:TrueFalse
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