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.

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

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

Question 1The objective of k-means clustering is:1 pointSeparate dissimilar samples and group similar onesMinimize the cost function via gradient descentYield the highest out of sample accuracyMaximize the number of correctly classified data points

Which of the following is NOT a clustering algorithm, commonly used in Unsupervised Learning?a.Random Forestb.DBSCANc.K-Meansd.Hierarchical Clustering