The conversation between human and AI assistant.
What algorithm would you use to group points in a cluster from a given set of points?
What are some limitations of the k-means algorithm?
One limitation of the k-means algorithm is that it requires the number of clusters k to be specified in advance, which can be challenging if the structure of the data is not well understood. Another limitation is that the algorithm may converge to a local minimum rather than the global minimum, depending on the initialization of the centers. To mitigate this, the algorithm can be run multiple times with different initializations, but this can be computationally expensive. Finally, the k-means algorithm assumes that all clusters are spherical and equally-sized, which may not hold in real-world data.