Machine Learning, Data Science, Clustering, Classification, Algorithms.
process we usually take the mean cluster points as the next center of a cluster. If there are outliers, the mean can be biased and will not led to the appropriate center of the cluster. The solution for this problem is that we can actually use median instead of mean. In k-means, choosing the number