K-means is applied majorly in cases where by the data set has details which are unique and properly separated from one another, usually, the clusters won’t be far aside, rendering them inaccurate. In this instance, when it may appear that you just have operate outside of achievable points to test, ensemble learning comes to the rescue.

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