Within-cluster sum of squares (WCSS) is a metric used to evaluate the compactness of clusters in clustering algorithms, representing the total variance within each cluster. It quantifies how closely the data points in a cluster are to the cluster's centroid, helping to assess the quality of the clustering. A lower WCSS value indicates more tightly packed clusters, which is typically desirable in clustering and classification methods.
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