In the context of the Elbow Method and K-means clustering, what does the 'elbow' in the plot represent? The point where adding more clusters does not significantly reduce the within-cluster sum of squares (WCSS)The point where the within-cluster sum of squares (WCSS) is maximisedThe point where the within-cluster sum of squares (WCSS) is minimisedThe point where the number of clusters is equal to the number of data points

Draw elbow chart for developing k-Means clusters from 2 to 10.

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

The process of identifying the appropriate value of k is referred to as finding the ‘elbow’ of the WSS curve.TrueFalse

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

What does K stand for in K mean algorithm?(1 Point)Number of clustersNumber of dataNumber of attributesNumber of iterations