Data Science, Machine Learning, Programming, Data Analysis, K Means Clustering.
assure that k=5 yields better clusters in size, density, and separation. Note that these measures focus more on the distribution of the embedding space. The semantics of the cluster depends on the application. For example, inspecting for topic dominance in clusters of documents. Conclusion K-Means