Data Science, Machine Learning, Programming, Data Analysis, K Means Clustering.
It is essential to check these before inferring anything from a trained model. For K-Means, here they are — K-Means cannot handle non-globular structure Datasets can have any number of patterns that can be interpreted visually. The job of clustering algorithms is to be able to capture this