@ankit81195 wrote:
I am currently studying about K-means clustering and while studying I understand that.
K-means Clustering - k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.
I understand it can have a different solution when we assign n points into a different cluster.I want to know how many solutions can possible for K-means clustering.
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