Clustering Interview Question
Question
Suppose you don’t know the no. of clusters beforehand. Which clustering algorithm would you use?
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Answer ( 1 )
In such a case DBSCAN would be a preferable option. The most exciting feature of DBSCAN clustering is that it is robust to outliers. It also does not require the number of clusters to be told beforehand, unlike K-Means, where we have to specify the number of centroids.