@pavscorp1911 wrote:
Why is K means algorithm so widely used as compared to Density Based Clustering, when the latter has multiple advantages over the former?
Density Based is not restricted to spherical clusters, is resistant towards noise, can handle outliers and you don't even have to specify the number of clusters before hand.What does K means have to offer, other than its simplicity, that Density does not?
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