Task Description: Unsupervised clustering is an extremely useful application when exploring unlabelled datasets in low dimensions. In this task, the influence of initial points, number of clusters, and the number of optimisation steps can be explored.
Drag the X markers to move initial centroids.
Objective Function:
Minimize the Within-Cluster Sum of Squares (WCSS):
$$ J = \sum_{j=1}^k \sum_{x_i \in S_j} \|x_i - \mu_j\|^2 $$