Data Science, Machine Learning, Programming, Data Analysis, K Means Clustering.
out in a non-globular setting. Fig. 4. Results of KMeans clustering on a non-globular dataset. As you can see that the clusters don’t capture the actual semantics in the dataset. Original Image KMeans is sensitive to outliers Since K-Means is a distance-based algorithm, it is susceptible to