Exclusive Clustering: Each observation is assigned to one and only one cluster. K-Means, which is the most common and simplest type of clustering, is an example of this type. While there is no mathematical ambiguity as to which cluster an observation belongs to, it does not quantify uncertainty for points that lie near the boundary of clusters.
What is Exclusive Clustering?
Exclusive Clustering: Each observation is assigned to one and only one cluster. K-Means, which is the most common and simplest type of clustering, is an example of this type. While there is no mathematical ambiguity as to which cluster an observation belongs to, it does not quantify uncertainty for points that lie near the boundary of clusters.
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