Extending Clustering will lead to an approach called the elbow method.
I plotted this graph, known as the WCSS, which shows how close the points in a group are to one another, to determine the number of clusters we need. It assisted me in determining the ideal number of groups at which the addition of another group is insignificant; this is known as the “elbow” point.
WCSS, or within cluster sum of squares, is essentially a gauge of how organised our clusters are. The sum of the squares representing the distances between each point and the cluster’s centre. We get neater clusters with lower WCSS. WCSS typically decreases as the number of clusters increases. The elbow method allows us to determine the ideal number of clusters.